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[Full Time] AI / ML Engineer at Accenture

Sat, 11 Apr 2026 19:29:30 +0530

Job Description

Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Machine Learning (ML)

Good to have skills :NA
Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing the development pipeline to ensure solutions are production-ready, integrating generative AI models, and working on diverse projects that may include deep learning, neural networks, chatbots, and image processing. This position demands continuous innovation and collaboration to deliver scalable and efficient AI-driven solutions that meet organizational goals and client needs.Roles Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI and machine learning solutions to address complex challenges.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate cross-functional efforts to align AI initiatives with broader business objectives.Professional Technical Skills:
Must To Have Skills:
- Proficiency in Machine Learning (ML).
- Experience with designing and deploying AI models in cloud and on-premises environments.
- Strong understanding of generative AI models and their practical applications.
- Hands-on experience with deep learning frameworks and neural network architectures.
- Ability to develop and optimize chatbots and image processing algorithms.
- Familiarity with production pipeline development ensuring scalable and maintainable AI solutions.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
- This position is based at our Chennai office.
- A 15 years full time education is required.Qualification
15 years full time education

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Accenture
Location(s): Chennai

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[Full Time] AI / ML Engineer at Accenture

Sat, 11 Apr 2026 10:30:12 +0530

Job Description

About The Role

Project Role AI / ML Engineer
Project Role Description Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills Large Language Models

Good to have skills NA
Minimum 3 year(s) of experience is required

Educational Qualification 15 years full time education
SummaryAs an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with team members and stakeholders will be essential as you contribute to innovative projects that push the boundaries of AI capabilities.
Roles & Responsibilities:

Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to gather requirements and deliver effective AI solutions.
Continuously evaluate and improve existing AI models and applications to enhance performance and user experience.
Professional & Technical
Skills:

Must To Have
Skills:

Proficiency in Large Language Models.
Experience with cloud-based AI services and deployment strategies.
Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with natural language processing techniques and tools.
Ability to work with data preprocessing and feature engineering for model training.
Additional Information:

The candidate should have minimum 3 years of experience in Large Language Models.
This position is based at our Hyderabad office.
A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Data Science AIML & Gen AI at Cognizant

Sat, 11 Apr 2026 08:39:24 +0530

Job Description
Role : Gen AI Engineer
Location : Pan India (Pref - Bangalore)
Experience : 5+ to 12 Years
Relevant : 2+ Years
Notice Period : Immediate to 45 days
Mode of Interview : In Person (Bangalore)

Job Description:
Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data.
Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)
Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets.
Build and deploy AI applications on cloud platforms any hyperscaler Azure, GCP or AWS.
Integrate AI models with our company's data to enhance and augment existing applications.

Role & Responsibility
Handle data preprocessing, augmentation, and generation of synthetic data.
Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)
Develop and Maintaining AI Pipelines
Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.
Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions
Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
Ensure the robustness, efficiency, and scalability of AI systems.
Stay updated with the latest advancements in AI and machine learning technologies.

Skills & Experience
Strong foundation in machine learning, deep learning, and computer science.
Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).
Experience with natural language processing (NLP) and computer vision is a plus.
Ability to work independently and as part of a team.
Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models.
Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.
Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models.
Experience in developing and deploying AI models in production environments.
Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions
Should be able to bring new ideas and innovative solutions to our clients
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Cognizant
Location(s): Bengaluru

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[Full Time] Data Scientist-Advanced Analytics at IBM

Sat, 11 Apr 2026 07:54:42 +0530

Job Description

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
Day-to-Day Duties

Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.

Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC

Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.

Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation

Required education
Bachelor''s Degree
Preferred education
Master''s Degree
Required technical and professional expertise

Design and deliver insightful reports and dashboards to communicate findings to stakeholders.
Stay up to date with the latest advancements in analytics, machine learning, and data science.
Provide technical expertise and mentorship to junior team members.

Qualificationsbachelor??s or master??s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL.
Experience with data visualization tools like Tableau, Power BI, or similar.
Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
Preferred
Skills:

Familiarity with cloud-based analytics platforms (e.g., AWS, Azure).
Knowledge of natural language processing (NLP) and deep learning techniques.
Experience with project management and agile methodologies

Preferred technical and professional experience

Familiarity with cloud-based analytics platforms (e.g., AWS, Azure).

Knowledge of natural language processing (NLP) and deep learning techniques.

Experience with project management and agile methodologies
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Noida, Gurugram

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[Full Time] Agentic AI Developer at Capgemini

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
Leverage LLMs and General AI for developing innovative solutions.
Apply prompt engineering techniques to enhance the performance of AI applications.
Utilize ChatGPT for developing conversational AI and natural language processing solutions.
3+ years of experience in statistical programming languages like Python, database query language SQL, Machine Learning
3+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling
3+ years of experience in statistical modeling, forecasting, classification
Good applied statistical skills and advanced statistical techniques and concepts
Deep knowledge on ML frameworks such as TensorFlow, Pytorch, Keras, Spacy, scikit-learn.
Ability to translate business requirements into conceptual and detailed system architecture and technology solutions.
Expertise in ideating, developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence.
Experience working in at least one cloud environment (AWS/Azure/GCP) and model deployment, orchestration, containerization (Kubernetes).
Knowledge of the application of AI technologies for automation such as natural language processing, virtual agents, computer vision, and neural networks.
Excellent problem-solving and communication skills.
Knowledge on version control systems, such as Git.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Noida, Gurugram

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Thu, 09 Apr 2026 12:00:00 +0530

Job Description

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
In your role, you may be responsible for:
Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data incorporating machine learning. techniques in your projects
Writing programs to cleanse and integrate data in an efficient and reusable manner
Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
Document solution architectures, design decisions, implementation details, and lessons learned.
Create technical documentation, white papers, and best practice guides.

Preferred technical and professional experience

Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
Experience and working knowledge in COBOL JAVA would be preferred.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Agentic AI Architect at Capgemini

Thu, 09 Apr 2026 12:00:00 +0530

Job Description

Technical Skills
Strong understanding of LLMs, vector databases, reasoning models, and agent frameworks.
Expertise in:
Python or similar languages
cloud platforms (Azure, AWS, GCP)
API design and integration
knowledge graphs and retrievalaugmented generation (RAG)
Familiarity with:
orchestration frameworks (LangChain, Semantic Kernel, AutoGen, etc.)
multi-agent architectures
workflow automation
Preferred Qualifications
8+ years in AI/ML engineering, solution architecture, or related fields.
Experience building autonomous or agent-based systems.
Certifications in cloud architecture or AI technologies.
Contributions to open-source AI ecosystem is a plus.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] Lead Data Scientist at Capgemini

Wed, 08 Apr 2026 12:00:00 +0530

Job Description
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client''s challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purposYour Role
Lead end-to-end AI and Machine Learning initiatives, starting from business problem understanding, data exploration, model development, validation, and final deployment in production environments.
Provide technical leadership to the data science team by reviewing models, guiding architecture decisions, ensuring best practices, and aligning solutions with business objectives.
Design and develop advanced analytics solutions including predictive modeling, NLP applications, clustering, recommendation systems, graph analytics, and optimization techniques to solve complex industry problems.
Build scalable ML pipelines, implement MLOps practices, ensure data security and compliance, and deploy solutions on cloud platforms such as AWS, Azure, or GCP.
Your Profile
Around 10+ years of strong experience in Data Science, Machine Learning, and AI solution delivery with proven expertise in handling large-scale projects.
Strong technical proficiency in Python, SQL, ML/DL frameworks (Scikit-Learn, TensorFlow, PyTorch), Big Data tools like Spark, and experience working with cloud environments.
Solid understanding of advanced concepts such as NLP (including Transformers and LLMs), unsupervised learning, graph algorithms, optimization methods, and statistical modeling techniques.
Demonstrated leadership ability with experience in Agile environments, proposal and RFP preparation, POC/MVP development, stakeholder management, and high-impact client communication.
Location - Bengaluru,Chennai,Gurugram,Hyderabad,Kolkata,Calcutta,Mumbai,Noida,Pune
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Chennai

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[Full Time] AI / ML Engineer at Accenture

Tue, 07 Apr 2026 12:00:00 +0530

Job Description

About The Role

Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Machine Learning

Good to have skills :NA
Minimum 5 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization.Professional & Technical
Skills:
-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] ML OPS Data Science Engineer at Cognizant

Tue, 07 Apr 2026 12:00:00 +0530

Job Description
Hiring for ML OPS Data Science Engineer.

Experience: 8 years to 13 years

Job Location: Hyderabad, Bangalore, Chennai, Kolkata, Pune

Please find the detailed Job Description below:

Key Responsibilities
Design and automate end-to-end ML pipelines (CI/CD, CT) for training, evaluation, and deployment.
Productionize ML models into clean, modular, and maintainable codebases.
Implement versioning and governance practices for data, code, and models.
Monitor model performance, data drift, and system reliability.
Collaborate with cross-functional teams to deliver scalable ML solutions.
Must-Have Skills
Minimum 6 years of experience in Data Science, Minimum 2 years in ML OPS.
Strong proficiency in Python and SQL.
Experience with Apache Spark or similar frameworks for large-scale data processing.
Hands-on experience with CI/CD tools (e.g., Azure DevOps).
Familiarity with MLOps frameworks, model registries, and experiment tracking.
Proficient in Git for version control.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Cognizant
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Tue, 07 Apr 2026 12:00:00 +0530

Job Description

About The Role

Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models

Good to have skills :NA
Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical
Skills:
- Must To Have
Skills:
Proficiency in Large Language Models.- Good To Have
Skills:
Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Gen AI Engineer at Cognizant

Mon, 06 Apr 2026 12:00:00 +0530

Job Description
Role : Gen AI Engineer
Location : Pan India
Experience : 5+ to 12 Years
Relevant : 2+ Years
Notice Period : Immediate to 45 days
Mode of Interview : Virtual and In Person

Job Description:
Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data.
Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)
Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets.
Build and deploy AI applications on cloud platforms any hyperscaler Azure, GCP or AWS.
Integrate AI models with our company's data to enhance and augment existing applications.

Role & Responsibility
Handle data preprocessing, augmentation, and generation of synthetic data.
Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)
Develop and Maintaining AI Pipelines
Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.
Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions
Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
Ensure the robustness, efficiency, and scalability of AI systems.
Stay updated with the latest advancements in AI and machine learning technologies.

Skills & Experience
Strong foundation in machine learning, deep learning, and computer science.
Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).
Experience with natural language processing (NLP) and computer vision is a plus.
Ability to work independently and as part of a team.
Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models.
Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.
Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models.
Experience in developing and deploying AI models in production environments.
Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions
Should be able to bring new ideas and innovative solutions to our clients
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Cognizant
Location(s): Hyderabad

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[Walk-ins] Walk-in || GEN AI Developer Specialist at Hexaware Technologies

Mon, 06 Apr 2026 12:00:00 +0530

Job Description
Role & responsibilities
Role Summary:
Were looking for a GenAI Developer with strong experience in building and deploying real-world applications using LLMs, vector DBs, and cloud AI services. The role involves end-to-end design and development of scalable, production-ready GenAI systems. Candidates must explain real-world challenges faced during implementations.
Key Responsibilities:
Build GenAI apps using models like GPT, Claude, LLaMA with prompt engineering.
Develop RAG pipelines, multimodal use cases, and agent-based workflows.
Optimize cost by identifying AI opportunities and delivering efficient use cases.
Create Q&A systems using knowledge repositories and embeddings.
Ensure prompt safety and apply responsible AI principles.
Prevent prompt injection/jailbreaking via input/output controls.
Implement Human-in-the-Loop (HITL) workflows.
Handle real-time voice/text parsing, chunking, and conversion.
Deploy scalable apps on Azure (AI Studio) or AWS (Bedrock).
Required Skills:
Azure/OpenAI or AWS Bedrock experience.
Responsible AI and prompt safety practices.
Python + FastAPI/LangChain, vector DBs (FAISS/Pinecone), RAG.
Proven production deployment experience.Contact Person Name: Sundarkanth
Contact Person Number: 7397526151
Mail ID: sundarkanthc1@hexaware.com

Location Details:
5th Floor, Tower D, India Land Tech Park Pvt Ltd., KGISL Infrastructure Pvt Ltd., Keeranatham Main Road, Saravanampatti, Coimbatore 641035, Tamil Nadu, India

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Walk-ins
Contact Details:
Company: Hexaware Technologies
Location(s): Coimbatore

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[Full Time] Data Scientist at Capgemini

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Role Summary
We are seeking a Data & AI Engineer / AI Data Scientist with strong hands-on experience in Python, Databricks, and LLM-based solutions. The role combines data engineering, LLM/agentic workflow development, and LLM evaluation & quality assurance, supporting enterprise-scale AI initiatives.
The candidate should be capable of working across the data layer, AI/LLM workflows, and evaluation frameworks, with experience deploying solutions in cloud environments (preferably Azure).
Primary (Mandatory) Skills
Strong Python programming experience
Databricks: PySpark, SQL, Delta Lake
Experience with LLMs, prompt engineering, and RAG concepts
Hands-on experience with agentic AI or workflow orchestration
Data modeling and data quality fundamentals
Experience working in enterprise-scale environments
Experience Requirements
4-8 years of experience in Data Engineering, AI Engineering, or AI/Data Science roles
Strong hands-on experience with Databricks and Python
Exposure to LLM-based systems (development, evaluation, or testing)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Bengaluru

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[Full Time] Data Scientist at Indium Software

Sat, 11 Apr 2026 19:32:19 +0530

Job Description
Job Title: Data Scientist

Develop and deploy machine learning and deep learning models for NLP applications

Design and implement models using Transformer and encoder

decoder architectures

Perform text preprocessing, tokenization, and embedding generation

Fine

tune and evaluate Large Language Models (LLMs)

Optimize models for performance, scalability, and production deployment

Build and deploy models through APIs or microservices

Work with large

scale datasets for training, validation, and analysis

Track experiments and model performance using MLflow or similar tools Required Skills:

Strong knowledge of classical machine learning and model evaluation techniques

Advanced proficiency in Python

Hands

on experience with PyTorch and/or TensorFlow

Experience with Hugging Face Transformers and Scikit

learn

Strong expertise in NumPy, Pandas, and data processing libraries

Knowledge of text preprocessing, tokenization, and embedding techniques (Word2Vec, GloVe, FastText, contextual embeddings)

Experience in LLM fine

tuning and evaluation

Understanding of MLOps, model optimization, and deployment workflows

Strong knowledge of data structures, algorithms, SQL, and large

scale data handling
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Indium Software
Location(s): Hyderabad

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[Full Time] Ey - Gds Consulting - Ai And Data - Data Architect at EY

Sat, 11 Apr 2026 18:23:27 +0530

Job Description
As part of our EY-GDS AI Data team, we help our clients solve complex business challenges with the help of data and technology. we'dive deep into data to extract the greatest value and discover opportunities in key business and functions like Manufacturing, Healthcare, Retail, Energy and Auto, Supply Chain, HR and Finance.

The opportunity

we're looking for Senior Managers (Senior Data Architects) with strong technology and data understanding having proven Pre-sales Delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Consulting Business.

Your key responsibilities

Architecture Solutioning

Design and propose cloud-based data and AI solutions that align with customer objectives and solve business challenges.

Architect and implement data platforms that support real-time, batch, and hybrid analytics.

Recommend design alternatives for data ingestion, processing, and provisioning layers.

Define and develop client-specific best practices around data management in cloud environments.

Translate business problems into data models, analytics pipelines, and BI/ML solutions.

Collaborate with cross-functional teams to ensure data security, scalability, and performance.

Responsible for creating Thought Leadership and Prototypes across horizontals and industry use cases.

Articulate examples of Modern Data Platforms, AI Ready Data

Data Engineering Development

Develop standardized practices for delivering new products and capabilities using Big Data cloud technologies.

Design and develop data ingestion programs for large datasets in batch mode using data bricks, cloud DBs, PySpark, Python and Orchestration tools.

Build real-time ingestion pipelines using Apache Kafka, Spark Streaming, and related technologies.

Lead the development of data Lakehouse architectures, streaming pipelines, and data integration frameworks.

Design and develop high-quality, efficient, testable code in Python and other languages.

Governance, Quality Patterns

Define and implement data governance, lineage, and quality frameworks.

Guide teams on various modern data design patterns, eg:

ETL/ELT

Lambda/Kappa Architecture

Data Vault Dimensional Modelling

Streaming Data Pipelines

CQRS

Change Data Capture (CDC)

Schema Evolution

Immutable Data

Polyglot Persistence

Leadership Client Engagement

Interact with senior client technology leaders to understand business goals and propose solutions.

Lead technical delivery, including effort estimation, solution design, and team management.

Develop and present PoCs, demos, and technical proposals to stakeholders and clients.

Build and mentor technical teams and contribute to capability development.

Experience in managing delivery teams and career transformations of the people.

Skills and Attributes for Success

Strong understanding of cloud ecosystems (Azure, AWS, GCP) and distributed computing paradigms.

Hands-on experience with:

Azure Data Services: Synapse, ADF, ADB, Azure SQL, Data Lake, Microsoft Fabric

Programming: Python, PySpark, SQL

Proficient in Databricks / Snowflake

Streaming: Kafka, Event Hubs, Spark Streaming

BI Tools: Power BI, Tableau

Comprehensive applied knowledge of:

Data modelling (dimensional, vault)

Data governance, metadata management, and data observability

Performance tuning

Strong stakeholder management and ability to bridge business and technical teams.

Exposure to AI/ML platforms: Azure Machine Learning, Cognitive Services, Azure OpenAI.

To Qualify for the Role, You Must Have

Minimum 14+ years of industry experience, with 7+ years in data architecture and analytics.

Proven experience in enterprise-grade solution implementations.

Experience in working managing global stakeholders.

Should have driven significant business outcomes as a part of their role.

Strong understanding and hands-on experience in data strategy, cloud-native architectures, and analytics modernization.

Have deep Pre-sales experience leading and supporting deals

Experience in responding to RFPs/RFIs, creating technical documentation, and leading solution design workshops.

Ideally, you'll Also Have

Pre-sales, client management skills.

Experience in solutioning and pre-sales engagements.

Exposure to data mesh principles and domain-oriented data product design.

Familiarity with data fabric, data mesh and multi-cloud data strategies.

Familiarity with real-time analytics

What we look for

People with technical experience and enthusiasm to learn new things in this fast-moving environment
Job Classification
Industry: Accounting / Auditing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: EY
Location(s): Bengaluru

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[Full Time] Lead Software Engineer - AI/ML at Boeing

Sat, 11 Apr 2026 14:41:25 +0530

Job Description
Overview
Boeing AI India team has an immediate opening for an Lead Software Engineer AI-ML (GenAI) to join their team in Bangalore, KA. The selected individual will co-lead a team that innovates, develops & implements next generation AI/ML and engineering data analytics for aerospace applications. He/She/They will lead & participate in projects to develop analytics solutions that helps improve aircraft performance, increase the operational efficiency of aircraft fleet operators, improve/optimize the productivity of Boeing engineering, operations & manufacturing and simulate aircraft lifecycle scenarios for potential customers. In addition, the candidate will support senior members of the team in developing future vision and direction of Boeing??s technology development in the field of Artificial Intelligence, Machine Learning, image/video processing, NLP, GenAI, data analytics and their application to diverse areas relevant to Boeing.
Position Responsibilities:
Development of innovative, machine learning / deep learning models and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers.
Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products.
Help in the adoption of new tools and technology, perform Proof-of-concepts and help engagements implement & take it over.
Mentor & guide junior data scientists on their technical work and growth aspirations.
Working closely & collaboratively with an international team comprising software development and research engineers. Develop and maintaining relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects.
Help in the adoption of new tools and technology, perform Proof-of-concepts and help engagements implement & take it over.
Documenting results of research and development projects, and provide inputs for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements.
Basic Qualifications (Required Skills/Experience):
Bachelors or Masters is required as basic qualification.
Documenting results of research and development projects, and provide inputs for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements.
10+ years of overall work experience with 7+ years in AI software development, data analytics and experience in building/deploying GenAI/LLM powered solutions.
Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
Excellent presentation & communication skills: Demonstrate strong written, oral, presentation and interpersonal communication skills.
Strong research background in innovating & developing technologies & solutions thru data science & analytics.
Preferred Qualifications (Desired Skills/Experience):
Track record in performing and leading research & development of highly innovative AI-driven solutions for difficult problems.
Expertise in building and productizing Machine Learning/Deep Learning models.
Design, develop, and iterate on scalable AI/ML solutions, including a focus on Large Language Models (LLMs), agentic, information retrieval systems, and advanced ML paradigms.
Apply proficiency in Python / R studio to deliver clean, efficient, and production-ready code.
Drive the MLOps lifecycle by establishing and maintaining robust pipelines.
Experience with containerization, model deployment, data management, and monitoring.
Guide teams in applying Data Science and Data Modelling techniques to drive innovation, efficiency, and automation.
Ensure timely deployment of models in a production environment.
ML experience with synthetic data generation / domain adaptation / self-supervised learning.
Solid software engineering practices: unit/integration testing, CI/CD, version control, and traceability to requirements.
Demonstrated capability to apply advanced visualization tools like Tableau, Power BI.
Be a self-starter who is not afraid to pro-actively seek information and direction to successfully complete the statement of work.
Be self-motivated and able to work independently with a positive attitude and highest ethics.
Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world.
Typical Education & Experience:
Education/experience typically acquired through advanced education (e.g. Masters) and typically 10 Plus years'' related work experience or PHD Degree with 7+ years of experience with an equivalent combination of education and experience.
Job Classification
Industry: Defence & Aerospace
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Boeing
Location(s): Bengaluru

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[Full Time] AI Data Scientist / AI Evaluation Specialist at Zensar

Sat, 11 Apr 2026 11:32:12 +0530

Job Description
Key Responsibilities

Create and curate high quality datasets (structured & unstructured) for AI/LLM training

Generate synthetic data, prompts, and golden answers

Evaluate AI generated outputs for quality, logic, and accuracy

Review and improve evaluation rubrics and scoring criteria

Rebuild and validate Python/Colab notebooks for data science problems

Assess model generated code across multiple programming languages

Review dashboards and data visualizations for correctness and insights

Required Skills

Strong proficiency in Python (pandas, numpy, Jupyter/Colab)

Solid foundation in Data Science, ML, and Statistics

Experience with data visualization (matplotlib, plotly, etc.)

Ability to evaluate complex AI outputs and analytical reasoning

Experience with prompt engineering or AI evaluation is a plus

Strong attention to detail and analytical thinking

Ideal Candidate

A versatile data scientist or AI specialist who enjoys both building and evaluating data, models, and code, and can work with precision in fast moving AI projects.

Experience: 4 to 8 years of professional experience in Data Analytics or a related technical field.

Education: Engineering background (B.E./B.Tech or equivalent).

Engineering background (B.E./B.Tech or equivalent)

Key Responsibilities

Create and curate high quality datasets (structured & unstructured) for AI/LLM training

Generate synthetic data, prompts, and golden answers

Evaluate AI generated outputs for quality, logic, and accuracy

Review and improve evaluation rubrics and scoring criteria

Rebuild and validate Python/Colab notebooks for data science problems

Assess model generated code across multiple programming languages

Review dashboards and data visualizations for correctness and insights
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Zensar
Location(s): Bengaluru

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[Full Time] Gen AI Developer at Tata Consultancy

Sat, 11 Apr 2026 07:15:35 +0530

Job Description
Job Description:

Must-Have**
(Ideally should not be
more than 3-5)
LLM Ops & Agent Orchestration: Experience with prompt engineering, prompt/version management, model routing, and evaluation using agentic and orchestration frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK), and other agent-based LLM frameworks.
RAG Expertise: Practical experience building and tuning RAG pipelines (chunking strategies, embeddings, retrievers, reranking).

Vector DBs: Hands-on with at least one: FAISS, Pinecone, Milvus, Weaviate (index types, parameters, scaling).

Python Engineering: Strong Python with FastAPI/Flask, async IO, typing, packaging; clean code & SOLID principles.

MLOps/Platform: Docker, Kubernetes, Git, CI/CD (Jenkins/GitHub Actions/Azure DevOps), observability (logs/metrics/traces).

APIs: Design/consume REST APIs, OpenAPI/Swagger, pagination, error models, rate limiting.

Data Handling: Experience with text preprocessing, embeddings, metadata schemas, and storage (object stores/RDBMS).
Build production-grade RAG pipelines, manage vector databases, and own LLM Opsincluding observability, evaluation, and cost/performance optimizationon secure, compliant platforms.

Good-to-Have
Agentic Architectures: Practical experience comparing and implementing LangChain/LangGraph vs Google ADK and other agentic solutions, understanding trade-offs across control flow,
memory,
observability, tool-calling, scalability, and production readiness.

Retrieval & Ranking: BM25, hybrid search, approximate nearest neighbor configs, rerankers (e.g., cross-encoders).

Model Ecosystem: Experience with OpenAI, Azure OpenAI, Anthropic, Cohere, local models (Llama, Mistral) and serving frameworks (vLLM/Triton).
Guardrails & Safety: Tools like Guardrails.ai, LlamaGuard, content moderation APIs; jailbreak detection.
Evaluation & Tracing: LLM traces (LangSmith, Phoenix), synthetic eval sets, human-in-the-loop feedback.
Infra as Code: Terraform/Helm; secrets management (Vault/KMS).
Streaming & Queues: Kafka/RabbitMQ; event-driven RAG updates.
Search Platforms: Elastic/OpenSearch integrations; hybrid retrieval pipelines. Caching & Cost Controls: Redis, response caching, token usage optimization.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Hyderabad

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[Full Time] Ai Ml Engineer at Optum

Fri, 10 Apr 2026 12:00:00 +0530

Job Description
Primary Responsibilities

Expertise in developing, deploying, and optimizing endtoend ML and GenAI solutions.
Strong command over Python-based data workflows and distributed Big Data systems.
Proven ability to design scalable ML architectures, orchestrate pipelines, and ensure production reliability.
Handson experience with LLMs, Transformer-based models, embeddings, and advanced NLP applications.
Deep understanding of MLOps practices for model lifecycle management and enterprise-level deployment.
Strong leadership skills with the ability to mentor teams, drive technical decisions, and influence stakeholders.

Required Qualifications

Undergraduate degree or equivalent experience.
Advanced degree in Data Science, Computer Science, or related field. Proven experience in AI/ML model development, big data technologies, and cloud platforms (Azure preferred). Strong skills in Python, SQL, Spark, and Agile/Scrum methodologies. Expertise in healthcare claims, payment integrity, and compliance frameworks is highly desirable. Strong expertise in Python (basic and advanced concepts) for ML and data engineering workflows.
Strong expertise in Python (basic and advanced concepts) for ML and data engineering workflows.
Extensive experience with Big Data technologies including PySpark, Spark, and Databricks.
Practical experience with Jupyter and cloud platforms such as Azure, AWS, or GCP.
Handson proficiency with Git, MLflow, cloud ML services, Kubernetes, and Terraform.
Deep understanding of BERT, Transformers, and embeddings for NLP and GenAI solutions.
Handson experience in LLM text generation using APIs and agent frameworks.
Ability to design and implement RAG (Retrieval Augmented Generation) models.
Experience building classification models using BERT or other Transformer architectures.
Strong knowledge of guardrailing techniques for safe and compliant LLM deployments.
Practical MLOps experience including model deployment, monitoring, and lifecycle management.

Preferred Skills

Experience with treebased models, regression/classification techniques, time series, clustering, and model optimization.
Strong foundation in advanced statistics and scalable architecture for ML systems.
Expertise in data cleaning, EDA, feature engineering, and scalable ETL/ML pipelines.
Experience building and orchestrating pipelines using Databricks workflows.
Team management experience including roadmap planning, prioritization, architecture design, and stakeholder management.
Strong leadership qualities with effective decisionmaking, mentoring, and strategic communication.
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Bengaluru

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[Full Time] Executive - AI/ML Engineer at Siemens

Fri, 10 Apr 2026 12:00:00 +0530

Job Description
We are seeking a skilled and innovative AI/ML Engineer to join our Cranes team to develop intelligent software solutions for crane applications. The ideal candidate will have a strong background in machine learning, computer vision, and real-time systems.

Job Description:
Design and develop AI/ML models for crane operation optimization, predictive maintenance, and safety enhancements.
Integrate computer vision systems for object detection, load monitoring, path optimization, anti-collision, and safety monitoring.
Collaborate with software, hardware, and mechanical engineering teams to implement intelligent control systems.
Analyze sensor data (e.g., LIDAR, cameras, IMUs) to improve crane performance and reliability.
Build and integrate digital twin models of cranes for simulation, testing, and performance prediction.
Ensure compliance with safety standards and industrial protocols.
Optimize algorithms for real-time performance and reliability in operational port environments.
Research and evaluate new AI/ML tools, frameworks, and methods relevant to industrial automation.
Document processes, write technical reports, and support knowledge transfer within the team
Qualification Experience:
Bachelors/masters degree in computer science, Data Science, Artificial Intelligence,Electrical/Electronics, or related field. 1-3 years of experience in AI/ML development,preferably in industrial or embedded systems.
Requirements:
Strong knowledge of machine learning, deep learning, reinforcement learning, and data science methods.
Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV).
Experience with time-series data analysis, anomaly detection, and predictive modeling.
Hands-on experience in computer vision (object detection, tracking, image recognition).
Understanding of industrial communication protocols (Modbus, OPC-UA, Profinet) is a plus.
Familiarity with edge computing and real-time AI deployment.
Experience with Cloud platforms (AWS, Azure, GCP).
Strong problem-solving and analytical skills, Result oriented, Excellent communication and teamwork abilities
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Siemens
Location(s): Mumbai

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[Full Time] Gen AI Developer at Infosys

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
Job Title

Gen AI Senior Lead
No of years Experience (Developer/lead)

More than 9 Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies.
Technology

Gen AI Technologies: Prompt Engineering, LLM Development using Langchain. Semantic Kernel , Open Source/ API based LLMs
AIML Subfields such as Neural Networks, Computer Vision, Speech Processing, Natural Language Processing.
AIML Tools such as AzureML, Google ML, AWS AI/ML, H2O, DataBricks, DataRobots and any other tools
Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures.
Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling.
Exposure to both API based and opens source LLMs based solution design
Key Skills

Technical Proficiency: An overall understanding of below technologies is required :
Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks
Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras
Cloud computing platforms: AWS, Azure, GCP
Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings
Computer vision: Convolutional neural networks, recurrent neural networks, object detection
Robotics: Reinforcement learning, motion planning, control systems
Data ethics: Bias in machine learning, fairness in algorithms
Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives.
Solution Design: Ability to design end-to-end AI solutions, from requirement elicitation and model selection to deployment strategy. Experience in crafting architectures that encompass data preprocessing, model integration, and performance optimization.
Communication Skills: Excellent verbal and written communication skills to engage with clients, articulate technical concepts to non-technical stakeholders, and work collaboratively with cross-functional teams.
Secondary Skill Set:
Domain Knowledge: Familiarity with the industry domains in which the AI solutions will be applied. This includes understanding the specific challenges and requirements of different sectors such as healthcare, finance, or manufacturing.
Project Management: Basic project management skills to oversee project timelines, milestones, and deliverables. Experience in coordinating with internal teams and clients to ensure project success.
Data Understanding: A foundational grasp of data preprocessing, feature engineering, and data quality assurance processes. This aids in understanding the data requirements of AI models.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Noida, Gurugram

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[Full Time] Senior Data Scientist - Python at Happiest Minds

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
Python, ML frameworks: PyTorch, TensorFlow, NLP, LLMs, PostgreSQL
?Strong programming skills: Python (primary), plus experience with .Net is a plus. ?Expert knowledge of ML frameworks: PyTorch, TensorFlow. ?Strong understanding of modern ML approaches and apply to large datasets to support business. ?Hands-on experience with NLP, LLMs, deep learning. ?Experience deploying ML models in production at scale. ?Expert in vector DBs, design and modelling like PostgreSQL ?Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques ?Response Generation: Develop components for generating structured responses by combining AI and ML models. ?Assemble large, complex data sets that meet functional/non-functional business requirements. ?Familiarity with vector databases, RAG systems, and fine-tuning LLMs. ?Strong experience with chatbot implementations and tuning the chat agent responses. Education: ?Minimum of a bachelors degree (3 Year) within a technical field.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Happiest Minds
Location(s): Bengaluru

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[Full Time] Gds Consulting - Aia - Data Science - Manager at EY

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 8 - 11 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical responsibilities:

Contribute to the design and implementation of state-of-the-art AI solutions.

Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.

Collaborate with stakeholders to identify business opportunities and define AI project goals.

Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.

Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.

Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.

Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.

Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.

Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.

Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.

Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.

Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

Ensure compliance with data privacy, security, and ethical considerations in AI applications.

Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

Bachelors or Masters degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.

Minimum 8-11 years of experience in Data Science and Machine Learning.

In-depth knowledge of machine learning, deep learning, and generative AI techniques.

Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.

Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.

Familiarity with computer vision techniques for image recognition, object detection, or image generation.

Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.

Expertise in data engineering, including data curation, cleaning, and preprocessing.

Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.

Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.

Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.

Understanding of data privacy, security, and ethical considerations in AI applications.

Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.

Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).

Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.

Implement CI/CD pipelines for streamlined model deployment and scaling processes.

Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.

Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.

Implement monitoring and logging tools to ensure AI model performance and reliability.

Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.

Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Job Classification
Industry: Accounting / Auditing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: EY
Location(s): Pune

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[Full Time] Data Scientist at Ltimindtree

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
Skillset for Python Developers
Must Have Experience-
Python with API development (either of below frameworks - Django, Flask, FAST)
GenAI Fundamentals (RAG, Agents)
Docker
Mandatory Hands on with coding and will be checked in Interview
Good to have Experience-
Any agentic framework like llama index, langchain
Microservice Architecture
Kubernetes
Exposure to CI/CD pipelines
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Ltimindtree
Location(s): Delhi, NCR

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[Full Time] Machine Learning Engineer at Firstsource

Thu, 09 Apr 2026 12:00:00 +0530

Job Description

About Firstsource
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.

Mode of Work: Remote

Job Summary:
As a Machine Learning Engineer specializing in generative AI, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high-quality, human-like content. You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to our clients.
Key Responsibilities:
Develop, train, and optimize generative AI models for various applications, including text, image, and audio generation.
Collaborate with product managers, software engineers, and data scientists to understand project requirements and deliver robust AI solutions.
Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance.
Implement and maintain scalable machine learning pipelines for training and deploying models in production environments.
Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards.
Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training.
Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems.
Document model architecture, training processes, and performance metrics for internal and client-facing reports.

Qualifications:
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Proven experience in developing and deploying generative AI models using frameworks such as TensorFlow, PyTorch, or similar.
Strong programming skills in Python and proficiency with machine learning libraries and tools.
Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques.
Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management.
Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
Preferred Qualifications:
Experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models.
Understanding of ethical considerations and bias mitigation in AI systems.
Contributions to open-source projects or publications in relevant conferences/journals.
Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.

Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Firstsource
Location(s): Hyderabad

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[Full Time] Senior Data Scientist at Randstad Digital

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
Role & responsibilities

What you will do:
Lead the end-to-end product development lifecycle, from ideation to launch, ensuring the successful delivery of AI products.
Design, deploy, and monitor machine learning models in production using MLOps tools and cloud-native services.
Develop and fine-tune Generative AI models and LLMs, integrating them into business applications.
Clean, preprocess, and analyze large datasets to extract meaningful patterns, trends, and insights.
Conduct thorough exploratory data analysis to discover hidden insights and potential opportunities.
Build and maintain data pipelines for efficient data collection, storage, and processing.
Develop and implement machine learning algorithms and models for predictive and prescriptive analytics.
Communicate complex findings to both technical and non-technical stakeholders through visualizations, reports, and presentations.
Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and relevant technologies.
Build scalable, automated data pipelines for batch and real-time analytics using tools like Airflow, Spark, or dbt.
Ensure compliance with data privacy and security standards in all AI solutions.
Preferred candidate profile
Bachelor's degree from an accredited college or university, and/or equivalent relevant experience. MS, MBA or CFA designation is a plus.
A minimum of 5 years of experience in data science, machine learning, or a related field. Wealth management industry related experience is a plus.
Strong understanding of AI technologies, including machine learning, natural language processing, and Generative AI.
Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML), containerization (Docker), and orchestration (Kubernetes).
Hands-on experience with Generative AI, LLMs, and prompt engineering.
Familiarity with modern data engineering tools (Airflow, Spark, Kafka, dbt).
Knowledge of data privacy regulations and responsible AI practices.
Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Strong experience with data manipulation tools (e.g., SQL, pandas).
Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices.
Detail oriented with the ability to organize and prioritize tasks to ensure timely delivery of the projects

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Randstad Digital
Location(s): Hyderabad

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[Full Time] Data Scientist - NLP Focused at Siemens

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
What You'll Do (Your Responsibilities):

As a Data Scientist, you will be instrumental in:

Strategic Collaboration:Work closely with stakeholders to gain a deep understanding of business objectives and translate them into effective, scalable data science strategies.
Model Development: Design, develop, and implement advanced machine learning and statistical models to address complex business challenges and deliver measurable value.
NLP for Semantic Enrichment: Leverage Natural Language Processing (NLP) techniques to extract, classify, and semantically enrich unstructured building data, collaborating closely with ontology experts to ensure accuracy and consistency.
Data Preparation & Exploration: Conducting in-depth exploratory data analysis, meticulous data cleansing, and insightful feature engineering to prepare datasets for analysis, including text-based data.
Insight Generation: Exploring and using various data mining and machine learning techniques to extract valuable insights and discover hidden patterns from large datasets.
Predictive & Prescriptive Solutions: Developing powerful predictive and prescriptive models, algorithms, and prototypes to directly support business decision-making.
IoT/IIoT Expertise: Applying your solid understanding of handling IoT and IIoT data, including traditional use cases like anomaly detection for multi-sensor systems.
Forecasting Mastery: Showcase your handson experience in forecasting using both traditional machine learning techniques and advanced deep neural network models.
Statistical Rigor: Performing thorough statistical analysis, hypothesis testing, and A/B testing to rigorously evaluate the effectiveness of models and algorithms.
Cloud-Based ML Systems: Gaining handson experience in building endtoend machine learning systems on leading cloud platforms such as AWS or Azure.
Effective Communication: Clearly communicating findings and insights to both technical and non-technical team members through compelling reports, presentations, and data visualizations.
Deployment & MLOps: Understanding and applying CI/CD processes in product deployment, ensuring seamless delivery of solutions.
Technical Proficiency: Demonstrating an understanding of Dockerization and REST APIs for scalable and efficient deployments.
Continuous Learning: Staying abreast of the latest trends and advancements in data science, machine learning, AI, and NLP technologies, identifying opportunities to apply them to improve business outcomes.
Software Development: Engaging in hands-on software development, primarily with Python.
What You'll Bring (Your Qualifications):

We're looking for someone who can hit the ground running and grow with us!

Experience: 5+ years of experience in data science and/or data analysis with a proven track record of successfully developing and deploying ML models and algorithms.
NLP Expertise: Demonstrated experience with Natural Language Processing (NLP) techniques, including text classification, entity recognition, topic modeling, and semantic search.
Education: A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, Computational Linguistics, or a closely related quantitative field. (B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with a good academic record will also be considered.)
Programming Prowess: Strong hands-on programming skills in Python are crucial, with experience in relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face, Gensim).
Proven Experience: Exposure to the industrial engineering domain, building management systems, or experience working with structured/unstructured data in a sophisticated domain is highly preferred. Experience with ontologies or knowledge graphs is a significant plus.
Tool Proficiency: Proficient in the use of various data science tools and libraries.
Analytical Foresight: Excellent analytical and statistical skills to derive meaningful insights.
Collaboration & Proactivity: A collaborative, team-oriented demeanour with a proactive attitude and a strong willingness to learn new technologies.
Communication Skills: Excellent verbal, written, and presentation skills to articulate complex ideas clearly.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Siemens
Location(s): Pune

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[Full Time] AI/ML-Data Scientist at Virtusa

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
AI ML
Build LLM powered applications for text generation summarization QA conversational AI and enterprise knowledge search
Develop RAG pipelines using embeddings vector databases knowledge bases and grounding techniques with enterprise data
Implement Azure OpenAI Cognitive Search and related services to build secure compliant GenAI solutions
Integrate LLMs into backend applications microservices and enterprise platforms
Optimize prompts system instructions and orchestration patterns to ensure quality reliability and cost efficiency
AI ML
Python
Azure Data Lake
Azure Data Factory
Databricks
Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Virtusa
Location(s): Noida, Gurugram

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[Full Time] Gen AI architect - India at Infosys

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
Job Title

Gen AI Senior Lead
No of years Experience (Developer/lead)

More than 9 Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies.
Technology

Gen AI Technologies: Prompt Engineering, LLM Development using Langchain. Semantic Kernel , Open Source/ API based LLMs
AIML Subfields such as Neural Networks, Computer Vision, Speech Processing, Natural Language Processing.
AIML Tools such as AzureML, Google ML, AWS AI/ML, H2O, DataBricks, DataRobots and any other tools
Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures.
Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling.
Exposure to both API based and opens source LLMs based solution design
Key Skills

Technical Proficiency: An overall understanding of below technologies is required :
Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks
Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras
Cloud computing platforms: AWS, Azure, GCP
Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings
Computer vision: Convolutional neural networks, recurrent neural networks, object detection
Robotics: Reinforcement learning, motion planning, control systems
Data ethics: Bias in machine learning, fairness in algorithms
Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives.
Solution Design: Ability to design end-to-end AI solutions, from requirement elicitation and model selection to deployment strategy. Experience in crafting architectures that encompass data preprocessing, model integration, and performance optimization.
Communication Skills: Excellent verbal and written communication skills to engage with clients, articulate technical concepts to non-technical stakeholders, and work collaboratively with cross-functional teams.
Secondary Skill Set:
Domain Knowledge: Familiarity with the industry domains in which the AI solutions will be applied. This includes understanding the specific challenges and requirements of different sectors such as healthcare, finance, or manufacturing.
Project Management: Basic project management skills to oversee project timelines, milestones, and deliverables. Experience in coordinating with internal teams and clients to ensure project success.
Data Understanding: A foundational grasp of data preprocessing, feature engineering, and data quality assurance processes. This aids in understanding the data requirements of AI models.
Roles and Responsibilities

Client Interaction: Collaborate with client business teams to elicit project requirements and comprehend the desired outcomes. Translate client needs into technical requirements and AI solution designs.
Solution Design: Create comprehensive AI solution designs that address client objectives. Define the architecture, model selection, and data requirements to ensure successful project execution.
Metrics Definition: Work closely with clients to define and agree upon measurable metrics that align with business goals. Ensure that the AI solution's performance is evaluated against these metrics.
Technical Implementation: Provide guidance to internal teams on implementing the defined AI solution. Collaborate with data scientists and engineers to integrate the solution effectively.
Performance Monitoring: Establish mechanisms to monitor and assess the performance of deployed AI models. Make recommendations for improvements based on observed outcomes.
Client Collaboration: Act as a liaison between the client and internal teams, maintaining effective communication throughout the project lifecycle. Provide regular updates and address any concerns or queries from clients.
Knowledge Sharing: Stay up-to-date with the latest developments in Generative AI and related technologies. Share insights with clients and internal teams to enhance solution designs and approaches.
Documentation: Prepare detailed documentation of solution designs, technical specifications, and project progress. Ensure that documentation is clear, concise, and accessible to relevant stakeholders.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Ahmedabad

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[Full Time] Python AI & ML Systems Architect at Chetu

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
Role Summary
Design and lead scalable AI/ML solutions from model development to production deployment, ensuring performance, reliability, and ethical AI practices.

Roles & Responsibilities
Design scalable AI/ML system architectures across cloud and edge environments
Lead development and training of ML models (NLP, Computer Vision, Predictive Analytics)
Define and implement MLOps pipelines for CI/CD, deployment, and monitoring
Build and optimize data pipelines for feature engineering and model training
Deploy and serve models using Docker, Kubernetes, and cloud services
Collaborate with crossfunctional teams to translate business needs into AI solutions
Establish best practices for AI governance, explainability, performance, and ethics
Stay updated on emerging AI technologies and drive innovation
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Chetu
Location(s): Noida, Gurugram

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[Full Time] AI/ML Engineer (Computer Vision) - Pan India at Infosys

Thu, 09 Apr 2026 12:00:00 +0530

Job Description
Role- Computer vision Engineer
Exp- 5+ years )relevent 2/3 years mandatory

Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills
Technical and Professional Requirements: Primary skills:Technology->Geographical Information System->Spatial Databases->SQL Server,Technology->Machine Learning->Python
Preferred Skills: Technology->Machine Learning->Python
Technology->Machine Learning->Generative AI

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Data Scientist at Tiger Analytics

Wed, 08 Apr 2026 12:00:00 +0530

Job Description
What do we expect?
Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.
Hands-On Data Science Experience: 3-6 years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments.
AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions.
Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems.
Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.
You are important to us, lets stay connected!Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Tiger Analytics
Location(s): Hyderabad

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[Full Time] Lead Data Science at TE Connectivity

Tue, 07 Apr 2026 12:00:00 +0530

Job Description
Job Overview
Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way.

Roles & Responsibility:
Technical Strategy & Solution Ownership
Define and drive the technical direction for ML, Deep Learning, LLM, and Generative AI initiatives aligned with business goals.
Own end-to-end solution design decisions, including architecture, modeling approach, and deployment strategy.
Evaluate emerging AI technologies and recommend pragmatic adoption based on feasibility, scalability, risk, and ROI.
Act as a technical authority on trade??offs between model complexity, performance, cost, and interpretability.
Advanced Modeling & Applied AI
Design, build, evaluate, and deploy:
Supervised and unsupervised ML models
Deep learning models (CNNs, RNNs, Transformers, transfer learning)
NLP and LLM??based solutions (RAG, embeddings, GenAI workflows, agent-based systems where applicable)
Apply strong fundamentals in statistics, experimentation, and validation to ensure robustness and reliability.
Demonstrate judgment in choosing simple vs. complex approaches based on business context.
End-to-End ML & MLOps
Architect and implement production-grade ML pipelines, including:
Data ingestion and preprocessing
Feature engineering and reuse
Model training, validation, deployment, and serving
Monitoring, drift detection, and automated retraining
Partner with Data Engineering and Platform teams to build scalable, cloud??native ML systems (AWS / Azure / GCP).
Ensure best practices around model versioning, observability, lineage, and reproducibility.
Adhere to data governance, security, privacy, and compliance standards.
Data Modeling & Data Architecture
Design and review logical and physical data models to support analytics and ML workloads.
Influence data architecture decisions (e.g., lakehouse, feature stores, semantic layers) to ensure:
Data quality
Performance
Reusability
Collaborate closely with Data Engineering teams on schema design and data readiness for ML.
Databricks & Lakehouse Expertise
Hands??on experience with Databricks and Lakehouse architectures, including:
Delta Lake
Auto Loader & Pipelines
Feature Store & Unity Catalog
MLflow Tracking, Model Registry, and Model Serving
Optimize ML and data workloads for performance, scalability, and cost efficiency.
Define best practices for collaborative development using notebooks, repos, and CI/CD workflows.
Application Development & Model Consumption
Build ML??powered applications and tools to expose insights and models to users and downstream systems.
Experience developing applications using:
Django / FastAPI or similar Python frameworks
Streamlit / Dash for rapid analytical interfaces
Design and implement REST APIs for model inference and integration.
Partner with Engineering teams to ensure applications meet performance, security, and deployment standards.

Desired Candidate Profile:
EDUCATION/KNOWLEDGE
Masters in computer science, Data Science, Machine Learning, Statistics, or related field.
Required Qualifications
Experience & Background
12-15 years of experience in Data Science, Applied ML, or AI-driven product development.
Proven track record of owning largescale, business-critical ML/AI solutions.
Experience working in environments with high ambiguity and cross-functional dependencies.
Technical Skills
Strong expertise in:
Machine learning and statistical modeling
Deep learning and neural architecture
NLP, LLMs, and Generative AI systems
Proficiency in:
Python (mandatory)
SQL (mandatory)
TensorFlow, PyTorch, and modern ML frameworks
Experience deploying and operating models in production.
Data & ML Platforms
Strong hands-on experience with Databricks, including:
Delta Lake, Feature Store, MLflow
Model Registry and Model Serving.
Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: TE Connectivity
Location(s): Bengaluru

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[Walk-ins] Walk-in || Data Scientist at Tata Consultancy

Tue, 07 Apr 2026 12:00:00 +0530

Job Description
WALK-IN DRIVE AT HYDERABAD

Location - Tata Consultancy Services Limited, Phase 1 Cafeteria, Opposite to DLF Building, TCS Synergy park, Non SEZ, Gachibowli, Hyderabad, Telangana 500032

Role - Data Scientist

Experience - 5-10 years

JD :

Exposure to Python, any Relational Database, structured and unstructured data.
Having Experience with AWS is a plus
Must have working experience in ML models for classification and regression.
Should have experience in NLP Knowledge in GenAI will give additional advantage
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Walk-ins
Contact Details:
Company: Tata Consultancy
Location(s): India

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[Full Time] AI / ML Lead at Infogain

Tue, 07 Apr 2026 12:00:00 +0530

Job Description
Job Title: Senior Data Scientist Generative AI & Advanced Analytics
Location: Noida / Pune / Mumbai / Gurgaon/Bangalore
Experience: 811 Years
Job Summary:
We are looking for an experienced Senior Data Scientist with strong expertise in Generative AI and Advanced Analytics. The role involves designing, developing, and deploying scalable AI/ML solutions, driving AI strategy, and leading cross-functional teams to build enterprise-grade intelligent systems.
Key Responsibilities:
Design & deploy end-to-end AI/ML and Generative AI solutions

Build and optimize LLM-based applications (RAG, Prompt Engineering)

Lead AI initiatives and mentor data science teams

Collaborate with stakeholders to translate business problems into AI solutions

Ensure scalable, production-ready AI system architecture

Required Skills:
Strong expertise in Python, ML frameworks, and cloud (AWS/Azure/GCP)

Hands-on with LLMs, NLP, RAG, Fine-tuning (LoRA/QLoRA)

Experience in AI system design & deployment at scale

Knowledge of Deep Learning, Transformers, RL, Ensemble Models

Strong leadership & stakeholder management skills

Qualifications:
Bachelors/Masters/Ph.D. in CS, AI, Data Science, or related field

811 years of relevant experience in AI/ML & Analytics

Good to Have:
Experience with multi-agent systems & Knowledge Graphs

Exposure to MLOps and distributed computing

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Pune

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[Full Time] Data Engineer - Python, PySpark, DBT at Tata Consultancy

Mon, 06 Apr 2026 12:00:00 +0530

Job Description
Role & responsibilities
Implementing data ingestion pipelines from different types of data sources i.e Databases, S3, Files etc..
Experience in building ETL/ Data Warehouse transformation process.
Experience working with structured and unstructured data.
Developing Big Data and non-Big Data cloud-based enterprise solutions in PySpark and SparkSQL and related frameworks/libraries,
Developing scalable and re-usable, self-service frameworks for data ingestion and processing,
Integrating end to end data pipelines to take data from data source to target data repositories ensuring the quality and consistency of data,
Processing performance analysis and optimization,
Bringing best practices in following areas: Design & Analysis, Automation (Pipelining, IaC), Testing, Monitoring, Documentation.
Good to have (Knowledge)1. Experience in cloud-based solutions,2. Knowledge of data management principles.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Pune

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[Full Time] Automation Developer at Miles Education

Fri, 03 Apr 2026 15:12:50 +0530

Job Description
Miles has partnered with a leading global professional services firm (our client), ranked in the Top 20, as they build their Global Capability Center (GCC) in India. Join our clients dynamic team to be part of this exciting growth journey.

We are looking for an Automation Developer to join clients Automation Information Technology team.
The Automation Developer is responsible for leading the hands on identification, design, development, testing, delivery, maintenance and support of automation solutions for the client. This is primarily a technical role that requires strong software development expertise at both a application and platform level. This role requires strong collaboration with internal and external business and technology teams, such as peer Automation Developers, Business Analysts, Process Owners, Business SMEs, Application Architects/Owners, etc., to successfully deliver automated solutions.
In this role, the Automation Developer will leverage a combination of their software development expertise, such as .NET in C#, Modern Angular, Python, SQL, Blazor, API Development/Integration, Microservices, etc., to develop automation solutions leveraging the right technology solution(s) and capabilities.
Our Automation Team is responsible for creatively and efficiently identifying, improving and automating wasteful processes through effectively leveraging existing and emerging technologies. The person serving in this role will have a unique opportunity to bring their software development expertise, curiosity and relentless need to find improvement to the table, while being armed with the support, tools and resources to help improve the way we work here at Aprio.
This person will need to be comfortable with staying uncomfortable. It will be challenging, messy at times, and will require the fortitude to push through the expected change management bumps by winning hearts and minds in the forms of: ROI focus, increasing revenue per employee, reducing time to value in solutions, reducing errors and re-work, improve data quality and removing mundane tasks so that our team members can spend their valuable time and expertise on what matters most.
Position Responsibilities:
Ability to leverage emerging and existing technology capabilities to improve and automate business processes; find the right technology to improve targeted business processes
Problem solver Logical and efficient, with keen attention to detail. Able to boil complex problems down to their constituent elements, and then formulate and evaluate a range of alternative automated solutions
Ability to analyze, interpret, and improve business processes, while applying agile practices to design and develop impactful automation solutions
Continuously monitor implemented solutions to ensure optimal performance and opportunities for continuous improvement, as well as debug and quickly resolve any issues that periodically arise
Execute work leveraging Agile and Scrum methodology
Be a trusted automation advisor by providing objective, practical and relevant ideas, insights and advice
Collaborate with internal and external business and technology members and stakeholders throughout automation lifecycle
Juggle multiple projects to deliver quick wins as well as strategic automation solutions simultaneously
Qualifications Needed:
Hyper curious with a continuous learning and growth mindset; adaptive and innovative
Demonstrated ability to work individually as well as within a team and build strong and collaborative working internal and external relationships through interpersonal skills
Willingness to help colleagues and peers through coaching and mentorship by bringing your individual expertise to the table
Ability to facilitate technical and non-technical discussions around architecture and development of automation solutions
Ability to effectively prioritize multiple tasks, projects and deadlines
Understanding of Agile methodology, Scrum Framework, and Software Development Lifecycle (SDLC); Agile development experience for management of E2E automation solution development lifecycle
In depth expertise developing and deploying solutions involving several of the following: .NET , Angular, Python, SQL, Blazor, HTML
In depth expertise leveraging the following tools and platforms: Azure Cloud, Visual Studio, Visual Studio Code, Azure Data Studio, MS SQL Server, Docker, Postman and Swagger
In depth expertise with Web and Application Development (Front & Backend), REST API Development/Integration as well as Microservice Development/Integration
Ability to understand different SDKs through their accompanying documentation and translating that into successfully executed development tasks
In depth expertise with secure authentication protocols and tools such as Okta, JWT, OAuth, SAML, MFA
In depth expertise with application and audit logging, Unit Testing, etc., leveraging tools like MSTest, Azure Application Insights and Serilog
Preferred Skills:
Bachelors degree in Computer Science, MIS, or similar
Prior AI, GenAI, AgenticAI, ML, NLP, OCR, etc. experience is a major plus
Experience and exposure to Automation and BPM tools and capabilities such as UiPath, Automation Anywhere, Blue Prism, Pega, WorkFusion, Azure, Microsoft Power Platform, Selenium, Playwright, etc.
Previous experience in the Accounting Technology Industry
Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Miles Education
Location(s): Mumbai

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[Full Time] AI / ML Engineer at Accenture

Fri, 03 Apr 2026 14:03:59 +0530

Job Description

About The Role

Project Role AI / ML Engineer
Project Role Description Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills Large Language Models

Good to have skills NA
Minimum 3 year(s) of experience is required

Educational Qualification 15 years full time education
SummaryAs an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with team members and stakeholders will be essential as you contribute to innovative projects that push the boundaries of AI capabilities.
Roles & Responsibilities:

Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to gather requirements and deliver effective AI solutions.
Continuously evaluate and improve existing AI models and applications to enhance performance and user experience.
Professional & Technical
Skills:

Must To Have
Skills:

Proficiency in Large Language Models.
Experience with cloud-based AI services and deployment strategies.
Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with natural language processing techniques and tools.
Ability to work with data preprocessing and feature engineering for model training.
Additional Information:

The candidate should have minimum 3 years of experience in Large Language Models.
This position is based at our Hyderabad office.
A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Fri, 03 Apr 2026 13:53:32 +0530

Job Description

A Data Scientist with expertise in Artificial Intelligence is a professional who skilfully combines data analysis and business acumen to tackle cognitive computing challenges. They are proficient in advanced analytics techniques for structured data and have a deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content. They are specialized in foundation models and large language models and skilled in architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, along with Experience in tools like GitHub Copilot, Amazon Code Whisperer. This expertise enables them to create comprehensive cognitive solutions that effectively process and analyse both structured and unstructured data. The professional should also have a strong foundation in one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies. This skill set is valuable in solving complex business problems and leveraging the power of artificial intelligence for cognitive computing. They have strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face; understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc; familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services. They work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and jQuery). They have experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Required education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise

Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.

Proficient in Python with focus on Data Analytics Packages. Strategy Analyze large, complex data sets and provide actionable insights to inform business decisions.

Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.

Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making.

Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models

Preferred technical and professional experience

Experience with conversation analytics. Experience with cloud technologies

Experience with data exploration tools such as Tableau.

Years of Experience:
5 - 7
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Ai / Ml Engineer at Accenture

Fri, 03 Apr 2026 12:57:59 +0530

Job Description
Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)

Good to have skills :NA
Minimum 5 year(s) of experience is required

Educational Qualification :15 years full time education Summary:We are seeking a highly skilled and visionary AI Architect to design and lead the architecture of cutting-edge AI systems involving agent orchestration, LLM integration, and enterprise-scale deployment. You will play a pivotal role in selecting the right models, frameworks, and strategies to enable intelligent multi-agent ecosystems, integrating them seamlessly into existing enterprise environments.Roles Responsibilities:
Design the overall AI system architecture, focusing on agent orchestration, system integration, and end-to-end scalability.
Evaluate and select appropriate LLMs, orchestration frameworks, tools, and APIs aligned with use case complexity and enterprise constraints.
Architect knowledge management systems using RAG (Retrieval-Augmented Generation) and hybrid search patterns.
Enable plan-and-execute strategies and multi-agent coordination for complex task automation.
Ensure secure, cost-optimized design through API gateway integration, token context-window budgeting, and resource utilization planning.
Drive Gen AI threat modeling, safety tier design, and defenses against adversarial prompts.
Collaborate with cross-functional teams to ensure seamless A2A (agent-to-agent) and tool-based orchestration.
Lead proof-of-concepts, technical assessments, and production readiness for agent-based applications.Professional Technical Skills:

Strong understanding of architecture patterns including knowledge management (RAG, hybrid search), agent design, and enterprise AI.
Hands-on expertise with LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, Vertex AI, AI Refinery.
Proficiency in tools-as-agents, function calling, API integration, model context protocols (e.g., MCP), and A2A communication.
Experience with Gen AI safety design, including threat modeling and prompt protection strategies.
Knowledge of API gateway design, performance optimization, cost-aware system architecture, and context budgeting.
Experience in working across cloud-native and hybrid environments with secure enterprise integration patterns.Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Data Architect at Accenture

Fri, 03 Apr 2026 12:41:31 +0530

Job Description

Project Role :Data Architect
Project Role Description :Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills :Google Cloud Platform Architecture

Good to have skills :Google Cloud Machine Learning Services
Minimum 12 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services.
Roles & Responsibilities:
Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services.
Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs.
Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products.
Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities.
Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments.
Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle.
Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform.
Expertise in Dialogflow CX, Agent Assist, and other CCAI tools.
Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks.
Strong architecture and solution design experience within GCP ecosystem.
Hands-on experience in building and optimizing production-ready chatbots and voice applications.
Excellent problem-solving, communication, and leadership skills.
Experience with programming languages such as Python/Node.js
Professional & Technical
Skills:
Must To Have
Skills:
CCAI/Dialogflow CX hands on experience and generative AI understanding.Good To Have
Skills:
Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering.Experience with cloud or on-prem application pipeline with production-ready quality.
Additional Information:
The candidate should have a minimum of 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.
The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.
A 15 year full time education is requiredQualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Data Scientist at Optum

Fri, 03 Apr 2026 09:10:08 +0530

Job Description
Primary Responsibilities:
Build and productionize ML/GenAI solutions using Python and Spark
Integrate LLM capabilities (APIs/agents) into applications and workflows
Design and maintain data pipelines for model training and inference
Conduct experiments, track metrics, and iterate based on results
Collaborate with product, data engineering, and platform teams to deliver features end-to-end
Document solutions and follow best practices for version control, testing, and CI/CD
Conduct experimentation, model evaluation, A/B testing, and performance tuning using tools like Mlflow
Develop & maintain scalable data pipelines for model training, validation inference using Spark/Databricks
Implement RAG pipelines, embedding-based search, and LLM-driven text generation
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor's/ Master's degree (preferably in information technology, data science, engineering, math, computer science, analytics, engineering or other related field)
3+ years of experience in handling/active development in data science projects
2+ years of experience in Microsoft Azure Cloud, Databricks, Mlflow, Spark SQL & Python
Experience building ML models and/or integrating LLMs into real applications
Experience using LLMs & Machine Learning Algorithms: Chat GPT, Claude, Llama Models, Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc
Expertise in developing, deploying, and optimizing end-to-end ML and GenAI solutions
Proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages

Preferred Qualifications:
Experience deploying and maintaining ML models in production
Experience with model observability tools for insights into the behavior, performance, and health of your deployed ML models (tracking, alerting, compliance monitoring, etc.)
Experience supporting analytical capabilities inclusive of reporting, dashboards, extracts, BI tools, analytical web applications and other similar products
Familiarity with model versioning tools (MLFlow, etc.)
Proven desire to continuously learn and seek new options and approaches to business challenges
Proven willingness to leverage best practices, share knowledge, and improve the collective work of the team
Proven ability to effectively communicate concepts verbally and in writing
Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Hyderabad

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Fri, 03 Apr 2026 08:08:35 +0530

Job Description

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:
Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data incorporating machine learning. techniques in your projects
* Writing programs to cleanse and integrate data in an efficient and reusable manner
* Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
* Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
Document solution architectures, design decisions, implementation details, and lessons learned.
Create technical documentation, white papers, and best practice guides

Preferred technical and professional experience

Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
Experience and working knowledge in COBOL JAVA would be preferred
Experience in python and pyspark will be added advantage

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Kochi

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[Full Time] Manager Data Science at Optum

Fri, 03 Apr 2026 07:53:00 +0530

Job Description

Primary Responsibilities:
Build strategic and technical solutions aligned to analytic efforts around AI/ML solutions
Develop novel AI approaches for healthcare using both structured and unstructured data
Build and test deep learning and traditional ML models in distributed computing environments
Optimize deep learning models for performance, scalability and efficiency
Stay current on internal and external technological advances in AI and advanced analytics that can be applied to the Healthcare Industry
Design and plan experiments, conduct statistical analysis and create data visualizations
Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards
Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
Build and maintain production-ready machine-learning models
Adopt new tools, technologies, and methodologies to ensure that the team stays at the frontier of Analytics
End to end ownership in designing and deploying analysis/ Dashboard/ data visualizations using Power BI
Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor's / Master's degree in Statistics, Physics, Mathematics, Engineering or similar analytic domain with a significant quantitative aspect
10+ years of experience in machine learning modeling and data analytics
5+ years of experience in creating full stack of machine learning end-to-end model pipeline and deploying machine learning models in production environments
Experience with LLM frameworks and/or NLP approaches such as text embedding
Experience with distributed computing approaches such as Spark
Experience with Snowflake and other relational databases
Experience working on collaborative software projects using GitHub
Experience working for a large enterprise with fragmented data sources, lack of documentation, unstructured requirements and ambiguity
Experience working with business stakeholders and senior leaders in understanding data and information needs, and executing on transformation of high-level, abstract data needs into meaningful AI/ML solutions
Experience converting raw data into processed, actionable, insightful information
Proficiency in AI/ML and deep learning frameworks such us PyTorch

Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Noida, Gurugram

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[Full Time] Accenture is hiring For Data Science Specialist at Accenture

Fri, 03 Apr 2026 04:58:14 +0530

Job Description
Role & responsibilities :

In this role you are required to do analysis and solving of moderately complex problems
May create new solutions, leveraging and, where needed, adapting existing methods and procedures
The person would require understanding of the strategic direction set by senior management as it relates to team goals
May interact with peers and/or management levels at a client and/or within Accenture
Guidance would be provided when determining methods and procedures on new assignments
Decisions made by you will often impact the team in which they reside
You are expected to have significant supervisory knowledge in a relevant field, are accountable for operational direction of a complex or large function, have a higher professional qualification and have client stakeholder experience
Text Analytics
Python
Adaptable and flexible
Ability to work well in a team
Commitment to quality
Agility for quick learning
Prioritization of workload
Preferred candidate profile
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Data Scientist || Immediate Opportunity at Valuelabs

Fri, 03 Apr 2026 04:55:54 +0530

Job Description

Job Description: - Skill Set : Python, Gen AI, LLM, RAG
JD :
Supports senior AI/ML engineers in data preparation, model training, evaluation, and experimentation. Gains hands-on experience in real-world AI use cases.
- Assist in data preprocessing and feature engineering for AI/ML models.
- Run model training jobs and evaluate performance metrics.
- Document model behavior and results.
- Support testing and validation of AI outputs.
- Participate in model versioning and documentation.
- Learn and apply best practices in AI/ML workflows under supervision.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Valuelabs
Location(s): Hyderabad

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[Full Time] Director Data Science at Optum

Fri, 03 Apr 2026 04:34:10 +0530

Job Description

Primary Responsibilities:

Engineering Leadership

Lead multiple AI/ML engineering teams in developing scalable ML models, LLM-based solutions, and intelligent automation capabilities across business domains

Drive end to end delivery of AI products, from ideation through productionization, leveraging modern ML Ops practices at scale

Partner with cross-functional teams to determine applicability of AI to business problems

Mentor data scientists, AI/ML scientists, and engineers to ensure the delivery of the AI/ML projects, and provide guidance on how to best use specific tools or technologies to achieve the desired results

Build and grow a high-performing AI/ML engineering team with roles spanning ML engineers, data engineers, AI architects, and applied scientists

Technical Leadership

Develop and evolve machine-learning methods by adapting model architectures, learning objectives, and feature representations to healthcare-specific data, constraints, and outcomes

Establish evaluation frameworks for AI/ML systems beyond accuracy, including reliability, explainability, safety, and real-world impact, in partnership with clinical and business stakeholders

Lead failure-mode analysis and iterative method improvement based on model behavior, data drift, and production feedback

Define and improve GenAI and LLM-based methods, including RAG architecture, retrieval strategies, grounding techniques, prompt optimization, and hallucination mitigation

Establish approaches for controlling and constraining LLM behavior in regulated healthcare settings, including confidence estimation, escalation strategies, and human-in-the-loop workflows

Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards

Implement governance aligned with responsible AI principles and regulatory frameworks (HIPAA, CMS), including automated guardrails and model observability

Lead value realization efforts, ensuring clear KPIs for business outcomes, quality, and operational performance

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Masters degree in Computer Science, Math, Statistics, or a related field and 15+ years experience OR a PhD in Computer Science or a related field and 5+ years experience

5+ years leading AI/ML initiatives end-to-end, including method definition, evaluation, production deployment, and ongoing improvement

3+ years of experience focused on AI/ML/NLP solutions delivery

Experience defining or evolving machine-learning methods, including model selection, evaluation, and iterative improvement in production systems

Experience developing and deploying data pipelines, machine learning models, or applications on cloud platforms (e.g., Azure, AWS, Databricks, AzureML)

Experience with Gen AI solution pipelines (e.g., RAG) and Large Language Modeling and Transformer Architectures (e.g., BERT, GPT, etc.)

Hands-on experience implementing AI/ML and/or NLP solutions

Solid hands-on background in Python and AI/ML frameworks (PyTorch, TensorFlow), and ML lifecycle tooling (MLflow, AzureML, etc.)

Solid understanding of responsible AI, model governance, and regulatory requirements in healthcare

Understanding of mathematical foundations of machine learning, including statistics, linear algebra, and computer science

Proven ability to clearly explain AI/ML methods, tradeoffs, and results to technical and non-technical stakeholders

Preferred Qualifications:

PhD in Computer Science, Mathematics, Statistics, or a related discipline

Experience in healthcare (AI) Experience developing AI/ML systems in healthcare or other regulated industries

Experience working with cross-functional and distributed teams in a global and diverse environment

Experience in establishing AI/ML best practices, standards, and ethics

Experience with model observability tools for insights into the behavior, performance, and health of your deployed ML models (tracking, alerting, compliance monitoring, etc.)

Working knowledge of Software Development tools and practices including DevOps and CI/CD tools (e.g., Git, Jenkins, Docker, Kubernetes, etc.)

Security and vulnerability management (package scans, remediation)

Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.)



Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Hyderabad

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[Full Time] AI/ML Engineer at Optum

Fri, 03 Apr 2026 03:18:11 +0530

Job Description
Primary Responsibilities:
Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL
Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models
Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data
Build, tune, and evaluate machine learning models for predictive and prescriptive analytics
Conduct drift analysis to monitor model performance and ensure accuracy over time
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment
Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments
Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions
Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
2+ years of experience in Data Science, AI/ML, or a similar role
Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
Hands-on experience in delivering production-grade AI/ML projects
Solid programming skills in Python, with experience in pandas, numpy, and SQL
Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
Solid understanding of mathematical and statistical concepts
Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.) is a plus.
Proven excellent problem-solving and analytical thinking skills
Solid communication and collaboration skills to work effectively in a team environment
Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Hyderabad

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[Full Time] Data Science Engineer(5-14 years) Infosys at Infosys

Fri, 03 Apr 2026 03:06:05 +0530

Job Description
Responsibilities
Anchor ML development track in a client project
Data collection, profiling, EDA & data preparation
AI Model development, experimentation, tuning & validation
Present findings to business users & project management teams
Propose ML based solution approaches & estimates for new use cases
Contribute to AI based modules in Infosys solutions development
Explore new advances in AI continuously and execute PoCs
Mentoring Guide junior team members & evangelize AI in organization
Technical skills
Programming: Python, R, SQL
ML algorithms:
Statistical ML algorithms
Deep Neural Network architectures
Model ensembling
Generative AI models
ML for Responsible AI
AI domains - NLP, speech, computer vision, structured data
Learning patterns supervised, unsupervised, reinforcement learning
Tools for data analysis, auto ML, model deployment & scaling, model fine tuning
Knowledge of different Model fine tuning approaches for Large models
Knowledge of datasets, pre-built models available in open community and 3rd party providers
Knowledge of software development & architectures
Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP
Knowledge of Model Quantization and Pruning
Past experience playing a Data Scientist role
Soft Skills
Good verbal & written communication skills articulate value of AI to business, project managers & other team members
Ability to break complex problem into smaller problems and create hypothesis
Innovation and experimentation
Academic background
Degree in quantitative field mathematics/ statistics/ computer science/ engineering
EXP-5-14 years
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Pune

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[Full Time] AI / ML Engineer at Accenture

Fri, 03 Apr 2026 02:50:06 +0530

Job Description
About The Role
Project Role :AI / ML EngineerProject Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Large Language Models
Good to have skills :NA
Minimum 12 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows.
Roles & Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Expected to provide solutions to problems that apply across multiple teams.
Facilitate knowledge sharing and training sessions to enhance team capabilities.
Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills:

Must To Have Skills:
Proficiency in Large Language Models.
Experience with cloud-based AI services and deployment.
Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with natural language processing techniques and tools.
Ability to design and implement scalable AI solutions.
Additional Information:
The candidate should have minimum 12 years of experience in Large Language Models.
This position is based at our Hyderabad office.
A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Fri, 03 Apr 2026 02:14:22 +0530

Job Description

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data incorporating machine learning. techniques in your projects
* Writing programs to cleanse and integrate data in an efficient and reusable manner
* Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
* Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
Document solution architectures, design decisions, implementation details, and lessons learned.
Create technical documentation, white papers, and best practice guides

Preferred technical and professional experience

Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
Experience and working knowledge in COBOL JAVA would be preferred
Experience in python and pyspark will be added advantage

Years of Experience:

5 - 15

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Noida, Gurugram

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[Full Time] Data Scientist at Birlasoft

Fri, 03 Apr 2026 02:02:43 +0530

Job Description

Long Description

We are seeking a seasoned Senior Data Scientist with overall 6 yrs and at least 5 years of hands-on experience in developing GenAI/machine learning models and deploying them in a cloud environment, preferably on Google Cloud Platform (GCP). The ideal candidate will design microservice-based solutions, containerize deployments (e.g., GKE), and drive end-to-end SDLC practices. Experience in the pharma domain is a strong advantage.

Notice Period -Imemdiate Joiner - 30 Days Maximum
Mandatory skills - GEN AI/ GCP/Python Programming Language
Location - Noida / Pune / Bengaluru / Chennai / Mumbai

Key Responsibilities
Lead end-to-end development of GenAI/ML models: problem framing, data preparation, model selection, training, evaluation, and iteration.
Architect and implement microservice-based AI solutions and deploy them in containerized environments (preferably GKE); define APIs and data contracts.
Incorporate and operationalize defined ML pipelines with MLOps practices: model versioning, feature stores, experiment tracking, CI/CD for ML, monitoring, and rollback strategies.
Leverage GCP offerings (Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE, etc.) to design scalable AI solutions and efficient data workflows.
Deploy, monitor, and maintain models in production; implement observability (logs, metrics, tracing), cost optimization, and performance tuning.
Ensure cloud security, data governance, and compliance in line with regulatory requirements; manage IAM roles, data access controls, and data lineage.
Collaborate with cross-functional teams (data engineers, software engineers, product, regulatory/compliance, analytics) to translate business needs into robust ML solutions.
Uphold SDLC standards: requirements gathering, design, development, testing, deployment, maintenance, and documentation; promote reusable patterns and best practices.
Mentor and guide junior scientists; contribute to code reviews, standards, and knowledge sharing.
Stay current with GenAI advancements and evaluate new tools/approaches; produce reproducible experiments and artifacts.

Required Qualifications
Overall 8 yrs and Minimum 5 years of hands-on experience developing GenAI/ML models and deploying them in a cloud environment.
Proficiency with Google Cloud Platfor and its AI/ML offerings e.g.- Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE

Must have experience working with any agentic framework
Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes
Strong software engineering skills: Python (primary), experience with ML frameworks (TensorFlow, PyTorch, scikit-learn), and API development (REST/GraphQL).
Experience designing and deploying microservices architectures and containerized solutions (Docker, Kubernetes; preference for GKE).
Solid experience in MLOps: model versioning, experiments, automated training, feature stores, model registries, monitoring, and governance.
Data processing and analytics expertise: SQL, data pipelines, ETL/ELT concepts, data quality, and data visualization support.
Excellent problem-solving, communication, and collaboration skills; ability to work with cross-disciplinary teams.
Understanding of cloud security concepts, IAM, and basic principles of data privacy and compliance.
Demonstrated ability to translate business problems into scalable ML solutions and to communicate technical concepts to non-technical stakeholders.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Birlasoft
Location(s): Hyderabad

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[Full Time] Data Scientist - Service Parts Supply Chain at Philips

Fri, 03 Apr 2026 00:44:57 +0530

Job Description
Data Scientist - Service Parts Supply Chain is responsible for managing the execution of Supply Chain data strategies, contributing to the design and construction of complex data structures for optimal data utilization. The role manages the development of reporting and analytics solutions to address intricate business needs, enhancing efficiency and effectiveness in supply chain operations. The role coordinates with cross-functional teams to pinpoint areas for improvement, devising process enhancement initiatives to boost the efficiency and effectiveness of supply chain operations. The role provides guidance and shares knowledge through assistance or training sessions to bolster supply chain capabilities across the organization. The role creates and structures data analytics tailored to specific supply chain metrics, utilizing statistical methods and data visualization techniques to extract insights.

Job Responsibilities

Lead the development and implementation of Supply Chain data strategies, including the design and construction of complex data structures to enable optimal data utilization and analytics scalability.

Act as a Supply Chain subject matter expert, providing analytical support, domain guidance, and knowledge sharing through hands on assistance and structured training to strengthen organizational capabilities.

Manage the deployment of tactical, financial, and operational analytics solutions, ensuring effective technical data delivery for projects and successful implementation of data driven initiatives.

Provide strategic guidance on the use of data and analytics to drive informed decision making, collaborating closely with senior management to align supply chain strategies with overall business objectives.

Develop, structure, and govern analytics aligned to defined supply chain metrics, applying statistical techniques and data visualization methods to enhance visibility and understanding of supply chain performance.

Lead the design and delivery of reporting and analytics solutions that address complex business requirements, supporting decision making while improving efficiency and effectiveness of supply chain operations.

Partner with IT and data engineering teams to clarify business requirements, review and approve solution designs, and ensure alignment between supply chain needs and IT capabilities.

Analyze and resolve moderately complex analytical and operational problems, evaluating relevant factors and applying established processes, methods, and operational policies to identify effective solutions.

Collaborate with cross functional teams to identify improvement opportunities and lead process improvement initiatives that enhance efficiency, reliability, and performance across the supply chain.

Guide and mentor team members, contributing to talent selection, performance management, compensation processes, career development, and the effective oversight of day to day operational activities.

Required Skills

Technical Skills

Strong domain expertise in advanced analytics techniques such as time series analysis, deep learning, or image recognition.

Ability to apply statistical techniques to describe data and develop predictive models.

Hands on experience with:

Excel (advanced charts and analysis)

Power BI or similar visualization tools

Complex database queries (eg, Oracle SQL) and data extraction / ETL processes

Solid understanding of Descriptive Statistics, Variability, Correlation, Probability, Regression, and Normal Distribution.

Awareness of Lean and Six Sigma methodologies.

Computer science skills to write code and collaborate effectively with data engineers.

Functional Skills Domain Expertise

Supply Chain Management ( Service Parts )

ERP systems

Process improvement and operational excellence

Business acumen

Regulatory requirements

Project management

Logistics operations

Materials management

Demand forecasting

Education Experience

bachelors or masters degree in Data Science, Business Analytics, Supply Chain, Information Systems, Operations Research, or equivalent.

10+ years of experience independently handling Supply Chain Analytics.

Soft Skills

Strong business domain understanding, especially within Service Parts Supply Chain.

Excellent communication skills with the ability to translate ambiguous business problems into simple, robust analytical solutions.

Strong data visualization and storytelling capability to communicate insights effectively.

Eagerness to learn new tools, techniques, and supply chain domains.

Job Classification
Industry: Consumer Electronics & Appliances
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Philips
Location(s): Bengaluru

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Fri, 03 Apr 2026 00:32:23 +0530

Job Description

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
In your role, you may be responsible for:
Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data incorporating machine learning. techniques in your projects
Writing programs to cleanse and integrate data in an efficient and reusable manner
Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
Document solution architectures, design decisions, implementation details, and lessons learned.
Create technical documentation, white papers, and best practice guides.

Preferred technical and professional experience

Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
Experience and working knowledge in COBOL JAVA would be preferred.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Senior AI/ML Engineer at Optum

Thu, 02 Apr 2026 22:54:19 +0530

Job Description
AI/ML Engineers code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.
May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. Generally work is self-directed and not prescribed.
Primary Responsibilities:
Drive responsible use of AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques
Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs
Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards
Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities
Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions
Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges
Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices
Accountable for high-quality software deliverables and operational excellence
Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices
Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives
Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
7+ years experience in Python
4+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models
Solid experience with Chatbots, conversational AI, and NLP-based solutions
4+ years of experience with Web and API development
4+ years of experience hosting applications in cloud environments (AWS preferred)
Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
Preferred Qualifications:
B.Tech in Computer Science, Engineering, or related technical field (or equivalent experience)
Experience in the healthcare industry
Full-stack engineering experience
Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Bengaluru

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[Freshers] Artificial Intelligence & Machine Learning Developer Fresher Aiml at EXCELPTP

Thu, 02 Apr 2026 22:21:24 +0530

Job Description
Assist in data collection, preprocessing, and model training. Work on machine learning experiments, model evaluation, and deployment support. Collaborate with the team to improve algorithms and develop AI-based solutions.
Required Candidate profile
Assist in data collection, preprocessing, and model training. Work on machine learning experiments, model evaluation, and deployment support. Collaborate with the team to improve algorithms and develo
Job Classification
Industry: Education / Training
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Freshers
Contact Details:
Company: EXCELPTP
Location(s): Ahmedabad

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[Full Time] AI / ML Engineer at Accenture

Thu, 02 Apr 2026 19:08:09 +0530

Job Description

Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Machine Learning

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.
Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization.
Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.
Qualifications 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Thu, 02 Apr 2026 13:17:13 +0530

Job Description
Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Machine Learning (ML)

Good to Have skills :Python (Programming Language), Generative AI
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time education Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a balance of technical expertise and creative problem-solving, as you navigate the complexities of AI technologies and their applications in real-world scenarios.Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to design and implement AI-driven applications.
- Analyze project requirements and develop appropriate AI models to meet those needs.Professional & Technical Skills:
-
Must To Have Skills:
Proficiency in Machine Learning (ML).
- Good to Have Skills:Experience with Python (Programming Language), Generative AI.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience in deploying machine learning models in cloud environments.
- Familiarity with data preprocessing techniques and data pipeline development.Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- This position is based at our Chennai office.
- A 15 years full time education is required. Qualification15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Chennai

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[Full Time] Data Scientist, Alexa Connections at Amazon

Thu, 02 Apr 2026 12:16:37 +0530

Job Description
As a Data Scientist in Alexa Connections, you will lead the end-to-end development of machine learning and data science solutions that power intelligent communication experiences across channels such as calling, messaging and email. You will partner closely with product, engineering, and business leaders to translate ambiguous problems into scalable ML models, experimentation frameworks, and data-driven product decisions. In this role, you will design and deploy advanced ML and statistical models for capabilities such as prioritization, intent detection, and proactive action recommendations. You will analyze large-scale datasets and run rigorous experiments, including A/B testing and causal analysis, to measure impact and continuously improve customer engagement and product performance. Additionally, you will shape the applied science roadmap and collaborate with global cross-functional teams to deliver AI-driven solutions that scale to millions of Alexa customers. Key job responsibilities
- Partner with product, engineering, operations, and security teams to translate complex business problems into scalable, production-ready data science and ML solutions.
- Own the full lifecycle of model development, including exploratory analysis, model design, deployment, monitoring, and continuous improvement.
- Define and track success metrics, conduct rigorous analyses, and provide insights that guide product launches, feature improvements, and data-driven decision-making.
- Build data-driven business cases to prioritize science initiatives and demonstrate measurable impact of ML solutions.
- Develop ML-powered systems supporting key business areas.
- Lead research and analysis to understand customer interactions with Alexa, and enhance overall customer experience.
- Contribute to the broader science community by mentoring analysts, improving data workflows and tooling, and publishing technical work in internal and external forums. A day in the life
Deep dive into our business metrics, analyze data, trends, and reviewing dashboards
Writing code: building packages in Python, writing SQL queries, deploying solutions for Connections experience teams to consume.
Leading or joining working sessions with Product Managers to refine problem statements new initiatives.
Exploring new features and model architectures, leveraging AWS services, documentation, and upskilling yourself to the latest technologies.
Leverage pre-trained LLMs to build applications that solve business problems for Connections experiences.
Meet with Sr. Engineers/Principal Engineers to align on solution designs.
Own or co-own MBR, WBR documents that are reviewed with Connections leadership team. - 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Bengaluru

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[Full Time] Workforce Planning - Data Analyst / Data Scientist / Ai / Ml at Optum

Thu, 02 Apr 2026 12:00:00 +0530

Job Description
Join our team and take a leading role in shaping workforce planning strategy throughadvanced forecasting, capacity planning, and optimization modeling
You will design scalable models to address complex contact center staffing challenges-including inbound and blended multi-channel environments-where operational costs and efficiency must be continuously balanced to meet business goals
This role demands strong operations research expertise and proficiency in Python to automate data pipelines and integrate third-party optimization libraries, enabling intelligent and efficient workforce solutions
Strategic Workforce OptimizationDevelop and implement long-term forecasting models to guide workforce planning,hiring plans, and budget allocation, incorporating skill-based constraints and relevantoperational constraints
Own your projects by managing daily activities and timelines, while collaboratingwith leadership to align staffing models with business objectives, seasonal demands,and evolving initiatives
Proactively and creatively explore and propose strategies to enhance operationalefficiency-for example, by analyzing alternative scenarios with varying risk levelsand weighing the trade-offs between hiring additional staff and leveraging overtime
Translate operational requirements into mathematical optimization models to addressworkforce challenges, including multi-skill staffing and other operational constraints
Conduct ad-hoc analyses to inform strategic decisions, leveraging tools like Python,R, or SQL, and integrate optimization solvers such as Gurobi, CPLEX, or opensource alternatives
Act as thought leader on research initiatives to advance workforce planning
methodologies, including:
o Develop Python-based automation to streamline forecasting and optimization
processes, including automated data extraction, transformation, and model
execution.
o Optimizing blended inbound/outbound contact center staffing to balance cost
and service levels
Required Qualifications:
3+ years of experience in data science, operations research, or related quantitativerole or graduate coursework in supply chain management, statistics, industrialengineering, or management science
Deep understanding of statistical modeling and optimization techniques relevant tocontact center strategic planning and resource allocation
Collaborate with cross-functional teams to identify and implement data-drivensolutions
Results-driven project leader with proven track record of managing end-to-endproject lifecycles
Effectively communicate complex concepts and present insights to both technicaland non-technical audiences with clarity and impact
Demonstrates a problem-solving mindset with a focus on scalable solutions, strongattention to detail, and the ability to thrive in ambiguous situations
Expertise in at least one scripting language (eg, Python, R) and a strong knowledgeof SQL and Excel
Working knowledge of workforce management tools (eg, Genesys, NICE, Aspect)
Nice to have: Tableau or Power BI visualization platforms
Preferred Qualifications:
Advanced degree (MS/MBA) in business or quantitative field (engineering, statistics,supply chain, and management science)
Proven experience in long-term forecasting, workforce analytics, or capacityplanning, leveraging data-driven solutions within the healthcare industry
Familiarity with AI/ML applications in workforce optimization
Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Noida, Gurugram

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[Full Time] Senior Data Scientist at Optum

Thu, 02 Apr 2026 12:00:00 +0530

Job Description
This position focuses on healthcare AI and machine learning initiatives, driving innovation to improve patient care and operational efficiency.

Primary Responsibilities:
Design, develop, and deploy ML/AI models for healthcare applications
Analyze complex healthcare data to deliver actionable insights
Collaborate with clinicians, researchers, and IT teams to translate business needs into technical solutions
Optimize existing models for performance and scalability
Integrate generative AI and LLMs for tasks like medical text generation and synthetic data creation
Communicate findings through reports and visualizations
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor's degree in CS, Data Science, Statistics, or related field; Master's/PhD preferred
7+ years in data science/ML/AI, ideally in healthcare
Experience in healthcare AI domains: NLP, computer vision, predictive modeling
Knowledge of generative AI nd LLMs (GPT, BERT, Llama)
Familiarity with big data tools, SQL/NoSQL databases
Understanding of healthcare standards (HL7, FHIR) and cloud platforms (AWS/ Azure/ GCP)
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn)
Proficiency in Python, R, Java, or Scala
Proven solid statistical analysis and data visualization skills
Proven excellent problem-solving and communication skills
Proven track record of delivering AI/ML projects
Model Development: Proven ability to design, develop, and deploy ML models and AI systems for healthcare challenges
Data Analysis: Proven ability to interpret complex healthcare datasets to generate actionable insights
Collaboration: Proven ability to work with clinicians, researchers, and IT teams to translate business needs into technical solutions
Algorithm Design: Proven ability to implement advanced algorithms for predictive analytics, patient risk stratification, and medical image analysis
Generative AI & LLMs: Proven ability to develop and integrate generative AI models and large language models for tasks like medical text generation and synthetic data creation
Optimization: Proven ability to enhance existing ML models for scalability and performance
Mentorship: Proven ability to guide junior data scientists and engineers
Compliance: Proven ability to ensure data integrity and adhere to healthcare regulations (e.g., HIPAA)
Communication: Proven ability to present findings through reports, presentations, and visualizations

Preferred Qualifications:
Familiarity with cloud platforms, big data tools, and modern ML frameworks
Solid background in AI/ML technologies, statistical modeling, and healthcare data
Proven ability to stay updated with emerging AI trends and integrate them into projects

Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Hyderabad

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[Full Time] Lead AI/ML Engineer at Optum

Thu, 02 Apr 2026 12:00:00 +0530

Job Description

Primary Responsibilities:

Fine-tunes a large language model on proprietary data to improve its performance

Developing new machine learning models from scratch

Experiments with novel model architectures or algorithms

Conducts and publishes research on AI models

Research and develop cutting-edge AI models, including deep learning, reinforcement learning, and generative architectures

Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments

Prototype and refine novel algorithms to improve model performance, scalability, and interpretability Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications

Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness

Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research

Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design

Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning

Mentor junior researchers and contribute to the development of internal AI knowledge bases and best practices

Partner with data engineering and product teams to integrate AI solutions into production systems

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

12+ years of experience in software development

4+ years of experience delivering solutions with a focus on AI/ML

Extensive experience implementing generative AI solutions using Open AI compatible APIs

Hands-on experience with Azure Functions, Azure Monitor, and App Insights -

Experience with Cloud-based AI and data services

Experience in GitHub & M365 Copilot,Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn

Experience or knowledge in Python, Databricks, RAG, Agentic, AI Foundry, Lang Fuse

Experience or knowledge in enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML

Experience or knowledge in Augmented Generation (RAG) techniques

Expertise in Azure Document Intelligence, OCR, and Databricks

Advanced proficiency in Python for AI/ML and automation

Solid understanding of RAG architecture including knowledge of vector databases and semantic search

Proven ability to lead the design and implementation of intelligent applications using Azure Open AI, LLM Gateway, and Retrieval-

Proven ability to drive end-to-end delivery of AI-powered solutions across cross-functional teams

Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Hyderabad

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[Full Time] Machine Learning Engineer at Infogain

Thu, 02 Apr 2026 12:00:00 +0530

Job Description
Job Title: Machine Learning Engineer / AI Engineer
Location: Noida, Gurgaon, Pune, Mumbai, Bangalore, Kochi (Hybrid 2 days/week from office)

Job Summary
We are looking for a skilled Machine Learning / AI Engineer to design, develop, test, and deploy advanced machine learning models and AI solutions. The ideal candidate will collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions.

Key Responsibilities
Design and develop machine learning models for data analysis and predictive solutions
Build and deploy Agentic AI / Autonomous AI Agents
Work closely with cross-functional teams to gather and implement requirements
Optimize models for performance, scalability, and efficiency
Develop and manage data pipelines and ML workflows
Deploy models in production environments using modern DevOps practices

Required Skills & Experience
Strong experience in Agentic AI / Autonomous AI Agents (LangChain, AutoGen, CrewAI, or custom agents)
Deep understanding of:
LLM training & fine-tuning
RLHF, LoRA, quantization
Model evaluation techniques
Hands-on experience with Computer Vision frameworks:
OpenCV, PyTorch, TensorFlow
Detectron2, YOLO, Segment Anything, CLIP
Strong proficiency in Python and ML libraries (PyTorch, TensorFlow, HuggingFace, LangChain)
Experience with:
Data pipelines
Vector databases (FAISS, Pinecone, Weaviate)
Embedding models
Familiarity with cloud platforms:
Azure ML, AWS SageMaker, GCP Vertex AI
Knowledge of:
Distributed training
GPU optimization
Model deployment using Docker & Kubernetes

Preferred Qualifications
Experience in building scalable AI solutions in production
Strong problem-solving and analytical skills
Ability to work in a fast-paced, collaborative environment

Work Mode
Hybrid (2 days/week from office)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Pune

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[Full Time] Senior Data Scientist - Natural Language Processing (nlp) at Happiest Minds

Thu, 02 Apr 2026 11:40:57 +0530

Job Description

The Senior Associate AI/ML Engineer builds production-grade ML and multimodal systems that support media workflows such as automated metadata extraction, video understanding, speech transcription, moderation, and recommendation

They own model development, MLOps integration, and production deployment while mentoring junior engineers

Detailed Responsibilities Model Pipeline Development Build and deploy multimodal ML models spanning NLP, CV, ASR, OCR, and video analytics

Develop robust pipelines for: o Video frame extraction, shot detection o Speech-to-text, speaker diarization o Image tagging, content moderation o Multimodal embeddings (CLIP, SigLIP, VideoCLIP) Implement RAG (Retrieval Augmented Generation) with multimodal indexing

Optimization Performance Engineering Optimize model latency for real-time content tagging or streaming workflows

Implement batching, quantization, distillation, or GPU optimizations

MLOps and Deployment Build CI/CD pipelines for ML using GitHub Actions, Jenkins, or Azure DevOps

Deploy models as microservices using Docker, Kubernetes, KServe, or FastAPI

Integrate observability tools (Prometheus, Grafana) for model monitoring

Media Engineering Integration Integrate AI into CMS platforms, OTT apps, media asset management (MAM) systems

Create APIs for search, recommendations, auto-captioning, and content summaries

Collaboration Mentorship Collaborate with product, content, and media engineering teams

Mentor associate engineers and review code

Must-Have Skills Strong Python + PyTorch/TensorFlow

Experience with NLP, CV, speech models

Knowledge of multimodal LLM frameworks (LangChain, LLaVA, LlamaIndex)

Strong understanding of vector search (Pinecone, Weaviate, FAISS)

Hands-on with Kubernetes, Docker, CI/CD

Preferred Skills Experience with Whisper, BLIP, ViT, SAM, and video transformers

Experience with cloud ML stacks: SageMaker, Vertex AI, Azure ML

Qualifications 35 years+ ML engineering experience

Bachelors/Masters in CS/AI

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Happiest Minds
Location(s): Bengaluru

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[Full Time] Gen AI Developer at Coforge

Thu, 02 Apr 2026 11:26:29 +0530

Job Description
We are Hiring Gen AI Developers ( AWS/Azure & Agentic AI Specialist) at Coforge Ltd.

Experience: 4 to 7 years
Employment Type: Full-time
Job Locations: Hyderabad & Greater Noida Only.

Apply Now: Gaurav.2.Kumar@coforge.com
WhatsApp: 9667427662
Role Objective:-

The Gen AI Developer will be responsible for the hands-on engineering of production-grade Generative AI systems.
This role is specifically designed for developers with deep expertise in the Azure/AWS ecosystem and a focus on building Agentic AI systems that move beyond simple chat to autonomous task execution.
You will build the APIs and back-end logic that allow AI agents to interact with enterprise tools and data securely.
Key Responsibilities:-

AWS-Native AI Development: Build and deploy Generative AI applications using Amazon Bedrock, leveraging services like Bedrock Agents, Knowledge Bases, and Guardrails for Bedrock.
Agentic AI Engineering: Design and implement autonomous agent workflows using frameworks like LangGraph, AutoGen, or CrewAI. Develop agents capable of reasoning, multi-step planning, and tool-calling.
API & Microservices: Architect and develop robust RESTful APIs (using FastAPI or Flask) and serverless back-ends via AWS Lambda and API Gateway to expose AI capabilities to web and mobile front-ends.
Cloud Integration: Integrate LLMs with AWS data services, including Amazon S3, AWS Glue, and DynamoDB, to create seamless data pipelines for RAG (Retrieval-Augmented Generation).
Tool & Function Calling: Implement "Function Calling" capabilities, allowing AI agents to interface with external APIs, databases, and software systems to perform real-world actions.
Security & Governance: Configure IAM roles and VPC security for AI workloads. Implement enterprise-grade guardrails to filter harmful content and protect PII.
Performance Tuning: Optimize model inference for latency and cost on AWS, utilizing AWS Step Functions for complex orchestration and CloudWatch for monitoring agent thought-processes.
Key Qualifications:-

Strong proficiency in Python (Boto3, LangChain, LlamaIndex).
Hands-on experience with Amazon Bedrock and Foundation Models (Claude, Llama, Titan).
Proven experience building Agentic workflows (ReAct patterns, multi-agent coordination).
API Development: Expert knowledge of API design principles, authentication (OAuth2/JWT), and asynchronous programming in Python.
Database Knowledge: Experience with Vector Databases (Amazon OpenSearch Serverless, Pinecone,or pgvector) and traditional NoSQL/SQL stores.
DevOps/MLOps: Familiarity with CI/CD for AI applications and monitoring
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

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[Walk-ins] Walk-in || Ai/ml Walk-in Drive_bangalore at Agilisium

Thu, 02 Apr 2026 10:55:08 +0530

Job Description
Job Title: AI/ML Engineer
Exp: 3-10 years
Registration Link : https://zurl.to/I16g?source=CareerSite

Location: IndiQube Eco
Campus 32, RMZ Ecoworld Rd, Adarsh Palm Retreat, Bellandur, Bengaluru, Karnataka 560103
Skill:Python, Fast API,Gen AI,Agentic AI,Langchain and LangGraph(Must have)
Tensorflow,SQL, MLops,AWS,Azure (Good to have)

Notice: Immediate to 30 days
JD:
Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka.
Experience building production-grade ML pipelines.
Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch.
Experience with cloud build, deployment, and orchestration tools
Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc.,
Experience in statistical modeling, machine learning, data mining, and unstructured data analytics.
Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model
Detail-oriented, with the ability to work both independently and collaboratively.
Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies.
Equal comfort driving low-level technical implementation and high-level architecture evolution
Experience working with data engineering pipelines
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Walk-ins
Contact Details:
Company: Agilisium
Location(s): Bengaluru

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[Full Time] Machine Learning Engineer at CGI

Thu, 02 Apr 2026 07:31:36 +0530

Job Description

Design and develop scalable machine learning models and algorithms to solve complex problems.

Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.

Develop and maintain large-scale data pipelines and architectures.

Conduct research and experimentation to improve model performance and efficiency.

Work closely with stakeholders to understand business needs and develop tailored solutions.

Stay updated with industry trends and advancements in machine learning.

Job Requirements

Strong foundation in computer science, mathematics, and statistics.

Proficiency in programming languages such as Python, Java, or C++.

Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Ability to work in a fast-paced environment and adapt to changing priorities.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: CGI
Location(s): Bengaluru

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[Full Time] Gen Ai Engineer ( Vertex Ai & Gcp Ml) at Capgemini

Thu, 02 Apr 2026 04:44:22 +0530

Job Description
Requirement
8+ years of experience in Machine Learning and Deep Learning, with hands-on expertise in Generative AI.
Strong experience in Natural Language Processing (NLP) and AI/ML algorithms.
Proficiency in Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, etc.
Experience with Agentic AI, LLMs, and RAG architectures.
Hands-on experience with Google Vertex AI, GCP ML, and other cloud platforms (AWS, Azure).
Familiarity with AI platforms, their capabilities, and limitations.
Ability to design, implement, and deploy scalable AI models.
Strong analytical and communication skills to interpret complex data and convey insights effectively.
Key Responsibilities
Design and implement Generative AI models using Vertex AI and GCP ML tools.
Develop and optimize Natural Language Processing (NLP) solutions for various business use cases.
Apply Retrieval-Augmented Generation (RAG) techniques and neural network architectures to enhance model performance.
Build and deploy models using AI/ML frameworks such as TensorFlow, PyTorch, etc.
Integrate Agentic AI capabilities into existing systems and workflows.
Enable and manage LLM-based solutions using platforms like OpenAI, Azure OpenAI, and Google Vertex AI.
Utilize cloud-based ML services including AWS SageMaker, Azure Machine Learning, and GCP AI Platform.
Collaborate with data scientists, engineers, and product teams to align AI solutions with business goals.
Ensure scalability, reliability, and performance of deployed models.
Stay updated with the latest advancements in GenAI and cloud-based ML technologies.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] Python + GenAI ML+ Cloud Engineer at Firstsource

Thu, 02 Apr 2026 02:25:17 +0530

Job Description

Were Hiring: Senior Technology Leader Contact Center, GenAI & Cloud

Location: 100% Remote
Experience: 7+ Years
Employment Type: Full-time
Why This Role Is Special
Work 100% remotely collaborate globally from anywhere
Lead nextgeneration Contact Center transformation
Hands-on with Python, GenAI, ML & Cloud
Strategic leadership + deep technical ownership

If youre passionate about building intelligent, cloudbased contact center solutions and driving innovation with Generative AI, this role is designed for you.

About the Role
As a Senior Manager Technology, you will lead the design and delivery of modern contact center solutions while building and integrating Generative AI and Machine Learning capabilities. Youll balance technical depth with people and project leadership, owning delivery from concept through deployment.
This is a hands-on leadership role where your Python expertise, cloud knowledge, and AI mindset will directly shape nextgen customer experience platforms.

What Youll Do
Lead endtoend implementation of Contact Center solutions, ensuring scalability and performance
Architect and integrate Generative AI (GenAI) solutions into customer interaction platforms
Design, write, review, and maintain highquality Python code
Collaborate with crossfunctional teams on architecture, scope, and delivery
Mentor and manage a highperforming team of engineers
Drive innovation by evaluating and adopting emerging technologies
Own the full SDLC from system analysis to deployment and production support
Ensure adherence to security, data privacy, and software best practices.

What You Bring
Core Skills & Experience
7+ years of experience in technology development and leadership roles
Strong experience with Contact Center platforms (any one of: Genesys, Five9, Cisco, Avaya, Amazon Connect, Twilio, etc.)
Advanced Python development skills
Handson experience with Generative AI integration and AIdriven solutions
Solid understanding of Machine Learning frameworks (TensorFlow, PyTorch, Keras, Scikitlearn)
Experience with Cloud platforms AWS, Azure, or Google Cloud
Strong knowledge of SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis)
Familiarity with DevOps tools (Docker, Kubernetes, Jenkins, Git)

What Sets You Apart
Excellent problemsolving and troubleshooting skills
Proven ability to lead and mentor technical teams
Strong communication and stakeholder management skills
Experience working in fastpaced, agile environments
Passion for innovation, automation, and AIdriven transformation.

Education
Bachelors degree in Information Technology, Computer Science, or a related field

What You Get
Fully remote work model
Opportunity to work on cuttingedge GenAI and ML use cases
Ownership of highimpact, enterprisescale contact center programs
A leadership role where your ideas and architecture decisions matter.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Firstsource
Location(s): Bengaluru

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Thu, 02 Apr 2026 01:53:09 +0530

Job Description

As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your primary responsibilities will include: Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer. Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies. Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models. Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery. Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions and tackle cognitive computing challenges. AI Frameworks and Tools: Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer to develop and deploy AI models.
Programming Skills:
Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI solutions. NLP and ML Methods: Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models. Cloud Platforms and Databases: Experience working with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services, as well as relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

Preferred technical and professional experience

Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions. Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions. Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.

Years of Experience:

8 - 10

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Lead Data Scientist || Immediate Joiner || Remote || 8+ Years at Enable Data

Thu, 02 Apr 2026 01:11:48 +0530

Job Description
Role: Lead Data Scientist
Mandate Years of Experience:8+ Years (Individual Contributor)
Location: Permanent Remote Opportunity
Notice period: Immediate to 30 Days
Open roles:2
Open Position: 4
1st Role:
Key Responsibilities
Lead and mentor a team of data scientists and analysts; provide technical guidance and ensure high-quality deliverables.
Design, develop, and optimize machine learning models (classification, regression, clustering, forecasting, etc.).
Build and maintain big data processing pipelines using PySpark, Spark SQL, and distributed computing environments.
Architect and deploy scalable ML solutions on Azure (Azure Databricks, Azure ML, ADLS, ADF).
Oversee feature engineering, model lifecycle management, monitoring, and performance tuning.
Collaborate with cross-functional teams to translate business needs into analytical solutions.
Present insights, model outputs, and recommendations to technical and business stakeholders.
Required Skills
58 years of hands-on experience in data science and ML development.
Strong hands-on experience in leading complex analytical problem solving using traditional ML architecture (like supervised and unsupervised learning, time series and Deep learning) along with strong team leadership capabilities.
Expertise in Python, PySpark, scikitlearn, XGBoost, and related ML libraries.
Strong experience with Azure data and ML services.
Solid understanding of distributed computing and performance optimization using Spark.
Proven ability to lead technical teams, conduct code reviews, mentor juniors, and manage projectexecution.
Excellent communication, stakeholder management, and problemsolving skills.
Experience with MLOps practices and CI/CD pipelines.

2nd Role:
Data Science lead (NLP, Deep Learning, GenAI):
Key Responsibilities
Develop endtoend NLP and GenAI solutions, including text classification, summarization, RAG systems, conversational AI, and document intelligence pipelines.
Build, finetune, and evaluate LLM-based models using transformer architectures (BERT, GPT, T5, LLaMA, etc.).
Design and implement custom NLP workflows, embeddings, semantic search, vector databases, and prompt engineering strategies.
Develop scalable advanced ML models leveraging deep learning, traditional ML, and hybrid architectures.
Deploy models and AI apps using modern MLOps practices across cloud environments (Azure preferred).
Collaborate closely with product, engineering, and business teams to translate requirements into AI-driven solutions.
Monitor model performance, conduct error analysis, and continuously optimize pipelines.
Required Skills
8+ years of experience in data science with deep handson expertise in NLP and Generative AI.
Proficient in transformer models, embeddings, and modern NLP libraries (Hugging Face, spaCy, NLTK).
Strong Python skills with experience in PyTorch/TensorFlow for advanced model development.
Practical experience building RAG architectures, vector search, and prompt optimization.
Solid understanding of MLOps, model deployment, monitoring, and productionization.
Strong problemsolving abilities with excellent communication and stakeholder engagement skills.

Interested candidates can share your resume to Pavithra.tr@enabledata.com for a quick response
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Enable Data
Location(s): Hyderabad

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[Full Time] Data Scientist at Genpact

Thu, 02 Apr 2026 00:33:44 +0530

Job Description
Role & responsibilities

Design, develop, and deploy machine learning and generative AI models to address business needs.
Work with large-scale datasets using Python, SQL, and industry-standard libraries (Scikit-learn, TensorFlow, PyTorch, Keras, AutoML, etc.).
Develop and fine-tune LLM-based solutions (GPT-3, GPT-4, or similar models) for real-world applications.
Ensure data quality, integrity, and compliance with best practices, frameworks, and coding standards.
Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI-driven solutions.
Explore and apply natural language processing (NLP) techniques for text understanding, summarization, and sentiment analysis.
Implement solutions on cloud platforms (Azure, AWS, or GCP) ensuring scalability and efficiency.
Manage project, team and supervise end to end project.
Research and experiment with GenAI, Agentic AI models, and advanced frameworks to drive innovation.
Mentor junior team members on AI best practices and troubleshooting.

Minimum Qualifications
Bachelors/Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field.
Strong programming skills in Python and proficiency in SQL.
Hands-on experience in machine learning, AI, and data science projects.
Solid understanding of generative AI concepts, frameworks, and model deployment.
Proficiency with deep learning libraries such as TensorFlow, PyTorch, or Keras.

Preferred Qualifications/ Skills
Prior experience in building or fine-tuning LLM applications.
Familiarity with NLP techniques and tasks (NER, sentiment analysis, summarization, text classification).
Exposure to AutoML frameworks and cloud AI services (Azure AI, AWS SageMaker, GCP Vertex AI).
Experience with MLOps practices for model lifecycle management.
Strong problem-solving, communication, and collaboration skills in multidisciplinary environments.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Genpact
Location(s): Hyderabad

Apply

[Full Time] DBT Engineer (Data Build Tool) - Lead at Coforge

Thu, 02 Apr 2026 00:27:05 +0530

Job Description
We are looking for a strong Data Engineer with hands-on experience in building data pipelines, performing transformations, and working with cloud-based data tools. The ideal candidate must have solid SQL skills, good understanding of data modelling, and hands-on exposure to DBT and cloud platforms (preferably GCP).

Key Responsibilities
Build and maintain scalable ETL/ELT pipelines. Develop and enhance DBT models and transformations.
Perform data cleansing, validation, and quality checks. Support cloud-based data engineering workloads (preferably GCP).
Write optimized SQL queries for analytics and data processing.
Collaborate with Data Engineers, Analysts, and Architects for requirement understanding.
Monitor pipeline health, troubleshoot issues, and ensure data reliability.
Document workflows, models, and mappings.

Required Skills (Must Have)
Data Modeling understanding (Star/Snowflake).
Strong SQL skills.
Hands-on experience with DBT.
Experience with at least one major cloud platform: GCP (BigQuery, Dataflow, Dataproc, Composer, GCS preferred) OR AWS / Azure equivalent services.
Experience with data transformation and loading technologies.
Good knowledge of Python for data tasks.

Share your resume over Aarushi.Shukla@Coforge.Com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Noida, Gurugram

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[Full Time] Senior Data Scientist - Natural Language Processing (nlp) at Happiest Minds

Wed, 01 Apr 2026 22:44:19 +0530

Job Description

The Senior Associate AI/ML Engineer builds production-grade ML and multimodal systems that support media workflows such as automated metadata extraction, video understanding, speech transcription, moderation, and recommendation

They own model development, MLOps integration, and production deployment while mentoring junior engineers

Detailed Responsibilities Model & Pipeline Development Build and deploy multimodal ML models spanning NLP, CV, ASR, OCR, and video analytics

Develop robust pipelines for: o Video frame extraction, shot detection o Speech-to-text, speaker diarization o Image tagging, content moderation o Multimodal embeddings (CLIP, SigLIP, VideoCLIP) Implement RAG (Retrieval Augmented Generation) with multimodal indexing

Optimization & Performance Engineering Optimize model latency for real-time content tagging or streaming workflows

Implement batching, quantization, distillation, or GPU optimizations

MLOps and Deployment Build CI/CD pipelines for ML using GitHub Actions, Jenkins, or Azure DevOps

Deploy models as microservices using Docker, Kubernetes, KServe, or FastAPI

Integrate observability tools (Prometheus, Grafana) for model monitoring

Media Engineering Integration Integrate AI into CMS platforms, OTT apps, media asset management (MAM) systems

Create APIs for search, recommendations, auto-captioning, and content summaries

Collaboration & Mentorship Collaborate with product, content, and media engineering teams

Mentor associate engineers and review code

Must-Have Skills Strong Python + PyTorch/TensorFlow

Experience with NLP, CV, speech models

Knowledge of multimodal LLM frameworks (LangChain, LLaVA, LlamaIndex)

Strong understanding of vector search (Pinecone, Weaviate, FAISS)

Hands-on with Kubernetes, Docker, CI/CD

Preferred Skills Experience with Whisper, BLIP, ViT, SAM, and video transformers

Experience with cloud ML stacks: SageMaker, Vertex AI, Azure ML

Qualifications 3-5 years+ ML engineering experience

Bachelors/Masters in CS/AI

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Happiest Minds
Location(s): Bengaluru

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[Full Time] Excellent Opening For Data Science / Ai / Ml Engineer - Ntt Data at NTT DATA

Wed, 01 Apr 2026 21:48:58 +0530

Job Description
Immediate Opening for Data Science / AI / ML Engineer

Greetings from NTT Data

Location : Chennai / Pune

Work Mode : Hybrid

Experience : 5 to 10 years

Salary : Best in the Market

JD for Reference:
Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning
Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.
Conduct market research, develop a point-of-view and communicate effectively
Work with data sets of varying degrees of size and complexity including both structured and unstructured data.
Piping and processing massive data-streams in distributed computing environments.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.
Basic Qualifications:
4+ years of experience supporting data science projects in a consulting environment.
4+ year(s) of experience participating in projects that focused on one or more of the following areas
Predictive Analytics ,Data Design , Statistics ,AI/ML , ML Ops
3+ years of experience using Python and/or R to analyze disparate datasets.
Experience in Gen AI , Agentic AI - Would be added advantage.

Interested candidate share your update resume to ( omkumaran.d@global.nttdata.com )

Thanks and Regards,
Omkumaran D
HR TA
NTT Data

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: NTT DATA, Inc.
Location(s): Pune

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Wed, 01 Apr 2026 14:11:18 +0530

Job Description

Work with broader team to build, analyze and improve the AI solutions.

You will also work with our software developers in consuming different enterprise applications

Required education
Bachelor's Degree

Required technical and professional expertise

Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.

Proficient in Python with focus on Data Analytics Packages.

Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.

Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.

Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models

Preferred technical and professional experience

Experience with conversation analytics. Experience with cloud technologies

Experience with data exploration tools such as Tableu

Years of Experience:
4 - 6
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Generative AI Engineer at Tata Consultancy

Wed, 01 Apr 2026 12:01:48 +0530

Job Description
JOB DESCRIPTION:
Must-Have**
(Ideally should not be
more than 3-5)
LLM Ops & Agent Orchestration: Experience with prompt engineering, prompt/version management, model routing, and evaluation using agentic and orchestration frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK), and other agent-based LLM frameworks.
RAG Expertise: Practical experience building and tuning RAG pipelines (chunking strategies, embeddings, retrievers, reranking).
Vector DBs: Hands-on with at least one: FAISS, Pinecone, Milvus, Weaviate (index types, parameters, scaling).
Python Engineering: Strong Python with FastAPI/Flask, async IO, typing, packaging; clean code & SOLID principles.
MLOps/Platform: Docker, Kubernetes, Git, CI/CD (Jenkins/GitHub Actions/Azure DevOps), observability (logs/metrics/traces).
APIs: Design/consume REST APIs, OpenAPI/Swagger, pagination, error models, rate limiting.
Data Handling: Experience with text preprocessing, embeddings, metadata schemas, and storage (object stores/RDBMS).
Build production-grade RAG pipelines, manage vector databases, and own LLM Opsincluding observability, evaluation, and cost/performance optimizationon secure, compliant platforms.

Good-to-Have
Agentic Architectures: Practical experience comparing and implementing LangChain/LangGraph vs Google ADK and other agentic solutions, understanding trade-offs across control flow,
memory, observability, tool-calling, scalability, and production readiness. Retrieval & Ranking: BM25, hybrid search, approximate nearest neighbor configs, rerankers (e.g., cross-encoders).
Model Ecosystem: Experience with OpenAI, Azure OpenAI, Anthropic, Cohere, local models (Llama, Mistral) and serving frameworks (vLLM/Triton).
Guardrails & Safety: Tools like Guardrails.ai, LlamaGuard, content moderation APIs; jailbreak detection.
Evaluation & Tracing: LLM traces (LangSmith, Phoenix), synthetic eval sets, human-in-the-loop feedback.
Infra as Code: Terraform/Helm; secrets management (Vault/KMS). Streaming & Queues: Kafka/RabbitMQ; event-driven RAG updates. Search Platforms: Elastic/OpenSearch integrations; hybrid retrieval pipelines. Caching & Cost Controls: Redis, response caching, token usage optimization
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Wed, 01 Apr 2026 12:00:00 +0530

Job Description
About The Role

Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models into various projects, working with deep learning frameworks, developing neural network architectures, and implementing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align AI solutions with business needs and continuous refinement of models and applications are also key aspects of the role.Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to enhance AI model performance and application efficiency.
- Assist in documenting technical designs and best practices for AI implementations.
- Support junior team members by sharing knowledge and providing guidance on AI technologies.
- Continuously monitor and optimize deployed AI systems to maintain high reliability and accuracy.
Professional & Technical Skills:
Must To Have Skills:
- Proficiency in Large Language Models (LLMs).
- Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications.
- Familiarity with deep learning techniques, neural networks, and related frameworks.
- Ability to develop and maintain production-quality AI pipelines and workflows.
- Knowledge of chatbot development and image processing methodologies.Experience
a:Should have Good Communication Skills and leadership skills.
b:Should have Good analytical skills and presentation skills.
c:Minimum 15 yrs. of full time educational is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Ai Ml Engineer at CGI

Wed, 01 Apr 2026 12:00:00 +0530

Job Description
Job Title: AI Engineer
Position: Software Engineer
Experience:3-5 Years
Category: Development
location: Bangalore
Employment Type: Full Time
Your future duties and responsibilities
3 to 5 years of experience in AI/ML, with a strong portfolio of deployed solutions.
Proven experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Hands-on expertise in LLMs (e.g., GPT, LLaMA, Claude), RAG architectures, and LangChain.
Strong programming skills in Python and familiarity with cloud platforms (Azure, AWS, or GCP).
Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models.
Solid understanding of NLP, transformers, and prompt engineering.
Senior Engineer with capabilities in AI, Machine Learning, Deep Learning along with GenAI experience using LLMs, implementing and using RAG, Langchain
Required qualifications to be successful in this role
Bachelors or masters degree in computer science, Artificial Intelligence, Data Science, or a related field.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: CGI
Location(s): Bengaluru

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[Full Time] Data Scientist AI/ML at Aziro

Wed, 01 Apr 2026 12:00:00 +0530

Job Description

Role Overview We re seeking a seasoned Data Scientist with deep expertise in AI/ML and a proven track record of delivering scalable solutions.
This role blends hands-on model development with strategic leadership, enabling you to shape the future of intelligent systems across NLP, GenAI, and MLOps. Key Responsibilities 1.AI/ML Model Development & Optimization Build and optimize models using PyTorch, TensorFlow, and cutting-edge ML frameworks.
Apply prompt engineering and fine-tuning techniques to foundation models (e.g., GPT-4, Claude, Llama).
Deliver NLP solutions: classification, summarization, sentiment analysis, entity extraction, conversational AI, and generative workflows.
Architect Retrieval-Augmented Generation (RAG) pipelines using vector databases, smart chunking, ranking, and caching.
Develop multi-agent systems for task planning, decomposition, and tool orchestration. 2. MLOps & Productionization Implement robust MLOps pipelines: CI/CD, model monitoring, feature stores, and governance.
Ensure reproducibility, drift detection, explainability (SHAP, LIME), and responsible AI compliance.
Optimize inference performance and design rollback strategies for production resilience. 3. Performance, Security & Compliance Ensure AI solutions meet security, compliance, and performance benchmarks.
Integrate external APIs with cost-aware and latency-optimized strategies.
Maintain observability and traceability across deployed systems. 4. Stakeholder Engagement & Strategic Roadmapping Translate business goals into scalable technical architectures.
Communicate risks, metrics, and impact to executives and cross-functional stakeholders.

Create design diagrams, runbooks, and model cards; lead workshops and technical deep-dives.Technology Stack Programming & Frameworks Expert: Python Libraries: Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, NLTK,

Frameworks: PyTorch, TensorFlow/Keras, Hugging Face, LangChain, LlamaIndex, Ray, PyTorch Lightning, FastAPI, Flask API Integration: RESTful APIs, OAuth, API keys, paginationCloud & DevOps Cloud: AWS, GCP, Azure

Containers: Docker Orchestration: Kubernetes (EKS/GKE/AKS) IaC (nice-to-have): Terraform, CloudFormationMLOps Tools Experiment Tracking: DVC, Weights & Biases, Neptune, TensorBoard Feature Stores, Model Registry, CI/CD pipelines

Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB, DynamoDB Vector Stores: FAISS, pgvector, Pinecone, OpenSearch, Milvus, WeaviateRAG & Multi-Agent Systems

Components: Document loaders, semantic splitters, embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, Cross-Encoder rerankers

Frameworks: Crew AI, AutoGen, LangGraph, MetaGPT,

Haystack AgentsSecurity & Compliance Secure AI development, privacy-preserving techniques, bias detection, model explainabilityLeadership & Pre-Sales Experience Proven success in shipping ML products at scale.

Lead client workshops, technical discovery, and early-stage solutioning.

Support pre-sales by identifying scalable patterns and architectural differentiators.

Qualifications

7-8 years in software engineering/data science, with 5+ years leading AI/ML projects.

Bachelor s or Master s in Computer Science, AI, Data Science, or related field.
Preferred Certifications: AWS Certified Machine Learning Google

Professional ML Engineer Azure AI Engineer Associate Kubernetes CKA/CKADSoft Skills & Leadership Attributes Influential

Communication: Translate complex ML concepts for non-technical audiences; strong storytelling and presentation skills.

Mentorship Mindset: Inspire and coach cross-functional teams; foster psychological safety.

Bias for Action: Rapid prototyping, iterative development, and production delivery.

Critical Thinking: Hypothesis-driven experimentation, A/B testing, and data-informed decisions.

Adaptability: Stay ahead of GenAI trends, tools, and emerging research.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Aziro
Location(s): Bengaluru

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[Full Time] Data Scientist at Abbott

Wed, 01 Apr 2026 12:00:00 +0530

Job Description
You will be mainly accountable for:
Oversee the entire process of delivering analytics solutionsstarting from problem identification and data analysis to model creation and insight presentationwhile ensuring alignment with business goals.
Collaborate with senior leaders and subject matter experts to understand strategic objectives, translate them into actionable analytics questions, and identify opportunities for data-driven impact.
Guide teams in applying advanced analytical techniques such as statistical modelling, machine learning, and optimization to generate insights and deliver high-value recommendations.
Effectively convey intricate results through data storytelling and visual representation; oversee analytics demand and long-term strategy while guiding less experienced team members and promoting a culture of collaborative learning.
Qualifications for the role:
MBA or Bachelor''s/masters degree in a quantitative discipline, such as mathematics, statistics, engineering, computer science, economics or finance.
2+ years of relevant experience in business analysis, data science, or consulting in a manufacturing/engineering or related industry.
Familiarity in programming languages, such as Python, R, and knowledge in data platforms and tools, such as AWS, Azure, Tableau, Power BI, or Qlik.
Proficient understanding of a variety of analytical methods, including regression, classification, clustering, time series analysis, optimization, simulation, and generative AI, as well as the capability to implement these techniques in practical scenarios.
Effective communication and noted leadership attributes.
Extensive understanding of various functional domains, including finance, operations, sales, account management, and supply chain is beneficial.
Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: ABB
Location(s): Bengaluru

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[Full Time] AI/Ml Engineer at Optum

Wed, 01 Apr 2026 12:00:00 +0530

Job Description
Primary Responsibilities:
Lead and manage a team of data scientists, fostering a collaborative and innovative environment
Oversee the design and development of predictive models and machine learning algorithms
Collaborate with business stakeholders to understand and define their data needs
Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner
Monitor model performance and continuously improve the accuracy of predictions and insights
Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate
Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making
Ensure data integrity and compliance with privacy regulations

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications -
Required Qualifications:
Proven experience with LLMs
Experience with Retrieval-Augmented Generation (RAG) techniques
Experience in ensuring the production quality of code, including thorough testing and documentation
Experience with version control systems such as Git
Solid understanding of machine learning concepts and fine-tuning methodologies
Basic understanding of containerization technologies such as Docker
Proficiency in using the Langchain framework
Proven excellent coding skills in Python, with adherence to PEP8 standards
Proven solid problem-solving skills and attention to detail
Proven ability to write clean, maintainable, and efficient code
Proven comfortable working on the terminal for various development and deployment tasks.
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Bengaluru

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[Full Time] Lead AI Engineer at Capco

Wed, 01 Apr 2026 12:00:00 +0530

Job Description

Role Purpose Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision-making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels.

Key Responsibilities

Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines)

Build scalable data pipelines and feature engineering workflows using structured and unstructured data

Integrate AI capabilities into enterprise platforms via APIs and microservices.

Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data.

Enable AI-driven use cases such as client insights, next-best-action, and automation of RM workflows.

Implement model monitoring, governance, and performance optimization aligned to enterprise standards.

Collaborate with engineering and business teams to translate wealth use cases into scalable solutions.

Experience working with wealth management data (clients, portfolios, transactions)

Understanding of data flows from core banking systems such as Avaloq

Awareness of AI governance, model risk, and regulatory considerations in banking

Skills & Experience

Primary:

Python (mandatory) ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) GenAI / LLM frameworks (LangChain, OpenAI, etc.) AWS (S3, Lambda, SageMaker, Bedrock)

Secondary: Data engineering (ETL pipelines, feature stores) API development Vector databases / embeddings
Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Capco
Location(s): Bengaluru

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[Full Time] Data Science & Machine Learning Lead at Aveva

Wed, 01 Apr 2026 12:00:00 +0530

Job Description
We are seeking a Lead Data Scientist to drive end-to-end model development initiatives. This role will be responsible for translating business problems into scalable machine learning solutions, leading model design and validation, and ensuring measurable business impact through data-driven insights.
The ideal candidate combines strong statistical and machine learning expertise with hands-on Python experience and leadership capability.
Key Responsibilities
Lead data exploration, data quality assessment, data patterns and identification of data gaps; coordinate with data engineering to enable reliable datasets.
Drive the complete ML lifecycle from data exploration and feature engineering to model development and validation.
Design and develop feature engineering pipelines and select appropriate ML approaches (baseline advanced).
Build, train, and optimize models using Python or Data bricks or Azure services or any other tools
Develop classification, regression, clustering, and forecasting models using appropriate algorithms and tuning techniques.
Select appropriate algorithms based on problem context.
Establish robust evaluation: validation strategy, metrics, error analysis, bias checks, and model explainability
Identify new AI opportunities, contribute to roadmap planning, and promote data-driven decision-making.
Desired skills
8-12+ years in Data Science / Machine Learning.
Strong expertise in Python.
Experience with deep learning frameworks preferred.
Strong foundation in statistics, probability, and mathematics.
Exposure to cloud platforms (AWS, Azure, GCP) is desirable.
Ability to interpret complex data and communicate insights clearly.
Experience with supervised learning (classification/regression) and unsupervised learning (clustering).
Time series/NLP/deep learning (as relevant to role)
Experience with tools like Data Bricks or similar is desirable.
Experience in industry like Oil Gas, Utilities, Water, Data Center or CPG.
Experience in developing forecasting, prediction, prescription or anomaly detection models for above industries.
Strong communication: translate security risk into engineering actions and business impact.
Ability to drive adoption without blocking deliverypragmatic and risk-based.
Leadership, mentoring, and cross-functional influence.

Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Aveva
Location(s): Hyderabad

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Wed, 01 Apr 2026 09:41:14 +0530

Job Description

As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your primary responsibilities will include: Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer. Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies. Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models. Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery. Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions and tackle cognitive computing challenges. AI Frameworks and Tools: Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer to develop and deploy AI models. Programming Skills: Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI solutions. NLP and ML Methods: Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models. Cloud Platforms and Databases: Experience working with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services, as well as relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

Preferred technical and professional experience

Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions. Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions. Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.

Years of Experience:
7 - 9

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Wed, 01 Apr 2026 09:17:05 +0530

Job Description

As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your primary responsibilities will include:

Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer.

Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies.

Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models.

Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery.

Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions and tackle cognitive computing challenges.

AI Frameworks and Tools: Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer to develop and deploy AI models.

Programming Skills: Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI solutions.

NLP and ML Methods: Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models.

Cloud Platforms and Databases: Experience working with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services, as well as relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

Preferred technical and professional experience

Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions.

Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions.

Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.

Years of Experience:
5 - 7

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Data Scientist, Amazon FinAuto at Amazon

Wed, 01 Apr 2026 08:30:12 +0530

Job Description
Ready to Transform Amazons Procurement Systems Are you passionate about building scalable solutions that impact how Amazonians get their work doneJoin us in revolutionizing Amazons procurement technology landscape through advanced analytics and machine learning. Were seeking a talented Data Scientist to help build the next generation of procurement applications from the ground up. This is your opportunity to work on high-impact systems that combine advanced search capabilities, AI-powered assistance. About This Role As a Data Scientist in the Global Corporate Procurement (GCP) Tech team, youll be instrumental in building modern, AI/ML-powered applications that transform Amazons procurement systems. Youll work on a greenfield initiative to create innovative solutions leveraging machine learning, natural language processing, and predictive analytics that make procurement faster, smarter, and more intuitive for Amazonians worldwide. This role offers the unique opportunity to develop data-driven systems leveraging AI/ML services, modern statistical modeling techniques, and generative AI capabilities. Youll collaborate with experienced data scientists, engineers, and cross-functional partners to deliver solutions that will eventually serve Amazons global workforce. What Youll Do Youll design, develop, and deploy scalable machine learning models and data pipelines that power Amazons procurement ecosystem. Working in an agile environment, youll take ownership of analytical solutions from conception through production deployment, contributing to technical decisions alongside experienced data scientists and engineers. Your work will directly impact the daily experience of Amazonians as they procure goods and services. Through collaboration with product managers, UX designers, and fellow data scientists, youll translate complex business requirements into elegant data-driven solutions using advanced analytics, NLP, and AI/ML techniques. Key job responsibilities
Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
Identify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction
Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
Analyze and solve business problems at their root - 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Masters degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Hyderabad

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[Full Time] Senior Machine Learning Engineer at Mastercard

Wed, 01 Apr 2026 01:40:41 +0530

Job Description
Our Purpose

Title and Summary

Senior Machine Learning Engineer

Overview: We are the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our team within Mastercard Data Services: The Data Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world''s largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. We are seeking an innovative Senior ML Engineer to share responsibility in designing and building a full stack web application and data pipelines. The goal is to deliver custom analytics efficiently, leveraging machine learning and AI solutions. This individual will thrive in a fast-paced, agile environment and partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects. Role Responsibilities:

Work as a member of an agile team to design, build, test, and deploy new products and features

Build and deploy AI solutions that should work at scale

Build appropriate data pipelines to support model deployments

Optimize large models for efficiency and scalability

Monitor the AI models and applications that are deployed

Lead and own everything around Machine Learning operations

Prepare appropriate documentation of the model deployment and processes

Conduct root cause analysis of data, pipeline and other processes

Participate in code reviews, model review, testing and debugging for high quality product

Conduct data analysis for different use-cases

Conduct data extraction, data analysis, data cleaning, preparation, modeling, and evaluation
Support building prototypes, and proof-of-concepts

Collaborate with internal teams and other teams across the company

Expert understanding of data pipeline building

Push for better development practices, better code, better Solutions

Proactively understand stakeholder needs, goals, expectations and viewpoints to deliver results

All about you:

Proven experience in developing and deploying Machine learning and Deep learning solutions

Deep understanding of different Machine learning, Deep learning, and AI algorithms

High proficiency in using Python

R is nice to have

Hands on experience on ML Frameworks (Scikit learn) and Deep Learning Framework (TensorFlow, PyTorch)

Solid experience with SQL, Hadoop and/or Snowflake/Databricks databases

Good understanding of Cloud technology

Building and maintaining ML production pipelines

Curious, Critical thinker, good hacking skills and scientific reasoning

Strong familiarity with Software engineering practices

Not afraid to ask questions and propose new ideas

Strong technologist eager to learn new technologies and frameworks

Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Mastercard
Location(s): Pune

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[Full Time] Senior Data Engineer (AWS) at Coforge

Wed, 01 Apr 2026 01:36:05 +0530

Job Description
We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies, AWS & Scala Mandatory. The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks.

Key Responsibilities:
Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data.
Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway.
Work extensively with streaming platforms like Kafka, Flink, Spark Streaming.
Develop and optimize data ingestion workflows using Apache NiFi, Airflow, Sqoop, Oozie.
Build and maintain data lakes and analytics platforms using AWS Lake Formation.
Hands-on development using Scala with Spark for distributed data processing.
Work with NoSQL databases including DynamoDB, HBase, and Hadoop ecosystem tools like MapReduce, Hive, HDFS.
Collaborate with cross-functional teams to deliver high-performance data solutions.

Technical Skills Required:
Mandatory: Spark, AWS, Hadoop
Big Data Tools: EMR, Glue, Hive, HDFS, HBase, MapReduce
Streaming & Messaging: Kafka, Kinesis, Flink, Spark Streaming
Data Ingestion: Apache NiFi, Airflow, Sqoop, Oozie
Cloud Platforms: AWS (preferred), Hortonworks, Cloudera, MapR
Programming: Scala (with Spark), Python (optional)
Databases: DynamoDB, NoSQL, HBase
Others: AWS Athena, Lake Formation, CloudFormation

Share your resume over Aarushi.Shukla@coforge.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

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[Full Time] Data Scientist at Leading Client

Wed, 01 Apr 2026 01:22:52 +0530

Job Description

Roles and Responsibility
Develop and implement predictive maintenance models using Machine Learning algorithms.
Analyze driver behavior data to identify trends and patterns.
Design and deploy Data Visualization dashboards using Power BI or Tableau.
Collaborate with cross-functional teams to integrate Big Data solutions using Spark and Hadoop.
Work on Cloud-based projects using AWS or GCP.
Apply Automotive datasets and CAN data analysis to develop innovative solutions.
Job Requirements
Strong proficiency in programming languages such as Python, R, and SQL.
Experience with Machine Learning frameworks and Deep Learning techniques.
Knowledge of Data Visualization tools like Power BI or Tableau.
Familiarity with Big Data technologies including Spark and Hadoop.
Understanding of Cloud computing platforms such as AWS or GCP.
Ability to work with Automotive datasets and analyze CAN data.
Job Classification
Industry: Recruitment / Staffing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Leading Client
Location(s): Hyderabad

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[Full Time] Python Developer with Data Analytics at Capgemini

Wed, 01 Apr 2026 00:44:53 +0530

Job Description
About The Role   About the Role We are seeking a talented and driven Software Engineer to join our Analytical Product team. You will play a key role in designing, developing, and deploying data-driven applications that power insights and decision-making across the business. This role is ideal for someone passionate about building scalable analytical tools using modern web frameworks and cloud-native technologies. Key Responsibilities
Design, develop, and maintain analytical web applications and services.
Collaborate with data scientists and subject matter experts to translate analytical requirements into robust software solutions.
Implement and manage containerized applications using Docker and orchestration tools (e.g., Kubernetes).
Build and maintain CI/CD pipelines for efficient deployment and testing.
Develop APIs and backend services using Python and modern web frameworks (e.g., Flask, FastAPI, Django).
Work with cloud platforms (preferably Google Cloud Platform, or AWS/Azure) to deploy and scale applications.
Ensure code quality, performance, and security best practices are followed.
Contribute to the full analytical lifecyclefrom data ingestion and transformation to visualization and reporting.

Required Skills Experience
Strong proficiency in Python and experience with at least one modern web framework (e.g., Flask, FastAPI, Django).
Solid understanding of the analytical lifecycle, including data ingestion, transformation, modelling, model storage, and visualization.
Experience with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.
Hands-on experience with containerized applications using Docker and orchestration tools like Kubernetes.
Familiarity with RESTful API design and microservices architecture.
Experience with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Jenkins).
Strong problem-solving skills and ability to work in a collaborative, agile environment.

  Preferred Qualifications
Experience with analytical lifecyle tools (e.g. mlflow, Kubeflow)
Familiarity with data processing and data orchestration frameworks (e.g., Pandas, Apache Beam, Apache Airflow).
Knowledge of SQL and experience working with relational or analytical databases (e.g., BigQuery, PostgreSQL).
Exposure to machine learning workflows or MLOps is a plus.
Primary Skils
Strong proficiency in Python and experience with at least one modern web framework (e.g., Flask/FastAPI/Django ).
Solid understanding of the analytical lifecycle, including data ingestion/ transformation/modelling/model storage/ visualization .
Experience with cloud platforms such as Google Cloud Platform (GCP)/ AWS/ Azure.
Hands-on experience with containerized applications using Docker and orchestration tools like Kubernetes .
Familiarity with RESTful API design and microservices architecture .
Strong problem-solving skills and ability to work in a collaborative, agile environment.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Chennai

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[Full Time] Ai/ml Engineer - 1st Apr(wednesday)- Virtual Interview - Pan India at Tata Consultancy

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Job title: AI/ML Engineer
Experience Range: 4-12 Years
Location: Pan India, Delhi or Bangalore or Hyderbad , Noida, Chennai, Mumbai

Virtual Interview : 1st Apr(Wednesday)
Timing : 10 am - 4pm

Job Description:

Roles & Responsibilities
1. Design, develop, and fine-tune AI models using prompt engineering, fine-tuning, and retrieval-
augmented generation (RAG).
2. Implement and optimize large language model (LLM) workflows using LangChain, LangGraph, and
LlamaIndex.
3. Develop and orchestrate intelligent agents and agentic workflows for task automation.
4. Integrate vector databases and embedding techniques (word/vector embeddings) for semantic
search and knowledge retrieval.
5. Build, test, and deploy chatbots and AI systems tailored to business requirements.
6. Apply machine learning & Deep Learning models for classification, segmentation, and regression
problems. 7. Integration with platforms and APIs 8. Collaborate with cross-functional teams to deliver production-grade AI applications.

Human Resources - TCS
Talent Acquisition Group
Tata Consultancy Services
Let's connect on Linkedln: linkedin.com/in/mahalaxmi-g-46a391245
For Opportunities visit: https://ibegin.tcs.com/iBegin
Website: www.tcs.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time educationSummary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities.
Roles & Responsibilities:
- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to identify and resolve technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full time education is required.
Qualification15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
About The Role
Project Role :AI / ML EngineerProject Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Machine Learning
Good to have skills :NAMinimum 3 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing.
Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop applications and systems utilizing AI tools and Cloud AI services.- Apply GenAI models as part of the solution.- Implement deep learning and neural networks.- Create chatbots and work on image processing.- Collaborate with the team to provide innovative solutions.
Professional & Technical
Skills:
- Must To Have
Skills:
Proficiency in Machine Learning.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
Additional Information:- The candidate should have a minimum of 3 years of experience in Machine Learning.- This position is based at our Hyderabad office.- A 15 years full-time education is required.Qualification15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Data Scientist at Paytm

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Requirements:
Machine learning experience of 2+ years of implementing and successfully deploying ML solutions at scale for real-world problems.
Own the application of machine learning algorithms.
Design and evaluate novel approaches for handling high-volume real-time data streams in a machine learning environment
Develop a feedback system to improve the selection of features for the algorithms.
Understand the theory and application of theory for common classification, clustering, regression and collaborative filtering. Curiosity to learn and implement latest developments in the field of data science.
Skills that will help you succeed in this role:
Experience with deep learning applied to areas such as ML and computer vision.
You have experience in distributed data processing frameworks like Hadoop, Spark or other similar frameworks.
You respect advanced data structures and can use them to solve your problems.
Python, Java, Scala or any other high level languages are a bonus.
You understand what it takes to deliver ML predictions in real time online applications.
Working knowledge of AWS or any other cloud platform.
Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Paytm
Location(s): Noida, Gurugram

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[Full Time] Gen AI Engineer at Solugenix

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Solugenix is a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises. With extensive expertise in highly regulated and complex industries, we are a trusted partner for integrating advanced technologies with streamlined processes. Our solutions drive growth, foster innovation, and ensure complianceproviding clients with reliability and a strong competitive edge.
Recognized as a 2024 Top Workplace, Solugenix is proud of its inclusive culture and unwavering commitment to excellence. Our recent expansion, with new offices in the Dominican Republic, Jakarta, and the Philippines, underscores our growing global presence and ability to offer world-class technology solutions. Partnering with Solugenix means more than just businessit means having a dedicated our financial client focused on your success in today's fast-evolving digital world.

Position Title: Sr. Software Engineer ( GenAI, Node, Python )
Required Experience : 4- 6 yrs
Job Location: Hyderabad / Indore
Shift : 12:30 pm - 9:30 pm IST

Job Description (Job Summary/Roles & Responsibilities)
We are seeking a highly qualified Machine Learning Engineer with advanced academic training (PhD or masters in data science/Machine Learning) and hands-on expertise in fine-tuning transformer models and Small Language Models (SLMs). The candidate will play a pivotal role in building, testing, and deploying enterprise-grade AI solutions using modern cloud ML platforms.
Key Responsibilities
Fine-tune transformer-based models and Small Language Models for enterprise applications.
Design and implement automated testing frameworks to validate model performance and reliability.
Deploy and manage ML workflows using AWS Sagemaker, Google Vertex AI, or Azure ML.
Collaborate with cross-functional teams (data scientists, engineers, product managers) to deliver scalable AI solutions.
Ensure compliance with enterprise standards for security, scalability, and performance.
Document processes, experiments, and results to support knowledge sharing and reproducibility
Mandatory Skills
PhD or masters degree in data science, Machine Learning, or related field.
Hands-on experience fine-tuning transformer models and/or SLMs.
Strong background in developing automated testing frameworks for ML models.
Proficiency with cloud ML tooling: AWS Sagemaker, Google Vertex AI, Azure ML.
Minimum 2+ years of enterprise experience (beyond academic research).
Solid programming skills in Python and familiarity with ML libraries (PyTorch, TensorFlow, Hugging Face).
Strong problem-solving and analytical skills.
Desired Skills:
Knowledge of distributed training and optimization techniques.
Experience with MLOps practices (CI/CD for ML, monitoring, retraining pipelines).
Familiarity with data engineering workflows and large-scale data handling.
Publications or contributions to open-source ML projects.
Education & Certifications:
Masters in computer science (AI/ML)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Solugenix
Location(s): Indore

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[Full Time] Data Scientist at Infosys

Tue, 31 Mar 2026 12:00:00 +0530

Job Description

Educational Requirements
Bachelor of Engineering

Service Line
Data & Analytics Unit

Responsibilities
We are looking for smart, self-driven, high energy people with top notch communication skills, intellectual curiosity and passion for technology in Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (Financial Services), strong business acumen and excellent soft skills & Exposure to Technology.

Preferred Skills:

Technology->Data Science->Machine Learning

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Bengaluru

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[Full Time] Senior Data Scientist - Natural Language Processing (nlp) at Happiest Minds

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Role Summary
The Senior Associate AI/ML Engineer builds production-grade ML and multimodal systems that support media workflows such as automated metadata extraction, video understanding, speech transcription, moderation, and recommendation. They own model development, MLOps integration, and production deployment while mentoring junior engineers.
Detailed Responsibilities
Model & Pipeline Development
?       Build and deploy multimodal ML models spanning NLP, CV, ASR, OCR, and video analytics.
?       Develop robust pipelines for:
o   Video frame extraction, shot detection
o   Speech-to-text, speaker diarization
o   Image tagging, content moderation
o   Multimodal embeddings (CLIP, SigLIP, VideoCLIP)
?       Implement RAG (Retrieval Augmented Generation) with multimodal indexing.
Optimization & Performance Engineering
?       Optimize model latency for real-time content tagging or streaming workflows.
?       Implement batching, quantization, distillation, or GPU optimizations.
MLOps and Deployment
?       Build CI/CD pipelines for ML using GitHub Actions, Jenkins, or Azure DevOps.
?       Deploy models as microservices using Docker, Kubernetes, KServe, or FastAPI.
?       Integrate observability tools (Prometheus, Grafana) for model monitoring.
Media Engineering Integration
?       Integrate AI into CMS platforms, OTT apps, media asset management (MAM) systems.
?       Create APIs for search, recommendations, auto-captioning, and content summaries.
Collaboration & Mentorship
?       Collaborate with product, content, and media engineering teams.
?       Mentor associate engineers and review code.
Must-Have Skills
?       Strong Python + PyTorch/TensorFlow.
?       Experience with NLP, CV, speech models.
?       Knowledge of multimodal LLM frameworks (LangChain, LLaVA, LlamaIndex).
?       Strong understanding of vector search (Pinecone, Weaviate, FAISS).
?       Hands-on with Kubernetes, Docker, CI/CD.
Preferred Skills
?       Experience with Whisper, BLIP, ViT, SAM, and video transformers.
?       Experience with cloud ML stacks: SageMaker, Vertex AI, Azure ML.
Qualifications
?       3-5 years+ ML engineering experience.
?       Bachelor's/Master's in CS/AI.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Happiest Minds
Location(s): Bengaluru

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[Full Time] AI / ML Engineer at Accenture

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)
Good to have skills :NA
Minimum 3 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you create. Collaboration with team members and stakeholders will be essential as you contribute to innovative projects that push the boundaries of AI capabilities.Roles Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Conduct research and stay updated on the latest advancements in AI and machine learning technologies.Professional Technical Skills:Must To Have Skills:
- Proficiency in Large Language Models.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms and services, particularly in deploying AI solutions.
- Familiarity with data preprocessing and augmentation techniques.
- Ability to design and implement APIs for AI applications.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)
Good to have skills :NA
Minimum 7.5 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, a typical day involves designing and developing advanced applications and systems that integrate artificial intelligence tools and cloud-based AI services. The role requires managing application pipelines that are production-ready, whether deployed on cloud platforms or on-premises. The engineer actively applies generative AI models as part of comprehensive solutions, which may also encompass deep learning techniques, neural networks, chatbot development, and image processing tasks. Collaboration with various teams to ensure seamless integration and deployment of AI-driven functionalities is a key aspect of daily activities, fostering innovation and efficiency in AI implementations.Roles Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and implementation of AI-driven projects ensuring alignment with organizational goals.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional efforts to optimize AI model deployment and maintenance.
- Continuously evaluate emerging AI technologies to recommend improvements and innovations.Professional Technical Skills:Must To Have Skills:
- Proficiency in Large Language Models (LLMs).
- Strong experience in designing and deploying AI applications using cloud AI services and on-premises infrastructure.
- In-depth knowledge of generative AI models and their practical applications in real-world solutions.
- Hands-on expertise with deep learning frameworks and neural network architectures.
- Experience in developing conversational AI systems such as chatbots and natural language processing tools.
- Familiarity with image processing techniques and integrating them into AI workflows.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Computer Vision And Deep Learning Engineer at Infogain

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Position: Computer Vision Engineer
Experience range: 4+ Years
Work Location: Bengaluru, Pune, Mumbai, Noida, Gurugram
Mode: Hybrid

KRA's:
Design and deploy Autonomous AI Agents using frameworks like LangChain, AutoGen, or CrewAI.
Execute LLM Training & Fine-tuning (RLHF, LoRA, Quantization) and rigorous evaluation.
Develop Computer Vision models using PyTorch/TensorFlow (YOLO, CLIP, Segment Anything).
Build and maintain Data Pipelines using Vector Databases (Pinecone, Weaviate, FAISS).
Optimize and deploy models in Cloud Environments (AWS, Azure, or GCP) using Docker and Kubernetes.

Essential skills: Python, PyTorch, TensorFlow, HuggingFace, Distributed training, GPU optimization, Model serving, Detectron2 / OpenCV.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Computer Vision
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Noida, Gurugram

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[Full Time] AI / ML Engineer at EY

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
8-15 years of relevant experience
Python
Develop and manage scalable enterprise AI capabilities that support the AI platform.
Design, train, and optimize machine learning and deep learning models for a variety of business use cases (e.g., SLM, computer vision, predictive analytics, recommendation systems).
Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, DevOps, BI & insights)
Develop and maintain CI/CD pipelines for ML models, ensuring automated testing, versioning, deployment, and monitoring in production environments.
Statistics, hypothesis testing, Feature engineering, Modeling
Machine learning frameworks: Scikit-learn, TensorFlow, Pytorch,
Natural language processing (NLP): spacy, Transformers, OCR
Gen AI: Developing, and deploying Generative AI (GenAI) solutions using large language models (LLMs)
Expertise with Retrieval-Augmented Generation (RAG), architectures, including integrating external data sources and vector databases to enhance LLM outputs.
Cloud platforms (Azure), containerization (Docker, Kubernetes), and orchestration tools
Communication skills, analytical skills, structured problem-solving skills.
Notice period : Immediate to 30 Days

Please share updated resume and LinkedIn at akila.sasikumar@in.ey.com
Job Classification
Industry: Management Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: EY
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)
Good to have skills :NA
Minimum 3 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. The engineer integrates generative AI models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and continuous refinement of AI-driven solutions are key aspects of the daily workflow.Roles Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
- Continuously research and evaluate emerging AI technologies to enhance existing systems.
- Assist junior team members by sharing knowledge and providing guidance on AI-related tasks.
- Ensure the quality and reliability of AI applications through rigorous testing and validation.Professional Technical Skills:Must To Have Skills:
- Proficiency in Large Language Models (LLMs).
- Experience with designing and deploying AI models in cloud or on-premises environments.
- Strong understanding of generative AI techniques and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize AI pipelines for production-grade solutions.
- Knowledge of chatbot development and image processing methodologies.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] AI / ML Engineer at Accenture

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)
Good to have skills :NA
Minimum 5 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing the development pipeline to ensure solutions are production-ready, integrating generative AI models effectively within various projects. Daily activities may include working on deep learning frameworks, neural network architectures, chatbot functionalities, and image processing tasks, collaborating with cross-functional teams to deliver innovative AI-driven solutions that meet organizational goals and client needs.Roles Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI solutions ensuring alignment with project objectives and quality standards.
- Facilitate knowledge sharing and mentorship within the team to foster continuous learning and skill development.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor project progress and proactively address any challenges to maintain delivery timelines.Professional Technical Skills:Must To Have Skills:
- Proficiency in Large Language Models (LLMs).
- Experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications in real-world scenarios.
- Familiarity with deep learning techniques, neural networks, and chatbot development.
- Ability to design scalable AI pipelines that ensure production-ready quality and performance.
- Knowledge of image processing methodologies and integration within AI systems.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] AI / ML Engineer at Accenture

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)
Good to have skills :NA
Minimum 7.5 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. The engineer integrates generative AI models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and efficiency in AI-driven solutions.Roles Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI-driven applications ensuring alignment with business objectives.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Continuously evaluate emerging AI technologies and recommend their adoption to improve system capabilities.Professional Technical Skills:Must To Have Skills:
- Proficiency in Large Language Models (LLMs).
- Experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong knowledge of generative AI models and their practical applications in real-world solutions.
- Familiarity with deep learning techniques, neural networks, and chatbot development.
- Ability to design scalable and production-ready AI pipelines integrating multiple AI components.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] AI / ML Engineer at Accenture

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)
Good to have skills :NA
Minimum 5 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing the development pipeline to ensure solutions are production-ready, integrating generative AI models effectively within various applications. Daily activities may include working on deep learning frameworks, neural network architectures, chatbot functionalities, and image processing tasks, collaborating with cross-functional teams to deliver innovative AI-driven solutions that meet organizational goals.Roles Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI solutions ensuring alignment with project objectives and quality standards.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Continuously evaluate emerging AI technologies and recommend their adoption to enhance project outcomes.Professional Technical Skills:Must To Have Skills:
- Proficiency in Large Language Models (LLMs).
- Experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications within software solutions.
- Hands-on experience with deep learning techniques, neural networks, and chatbot development.
- Familiarity with image processing algorithms and their integration into AI systems.
- Ability to design scalable and production-ready AI pipelines ensuring robustness and efficiency.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Tue, 31 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)
Good to have skills :NA
Minimum 5 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing the development pipeline to ensure solutions are production-ready, integrating generative AI models effectively within various projects. Daily activities may include working on deep learning frameworks, neural network architectures, chatbot implementations, and image processing tasks, collaborating with cross-functional teams to deliver innovative AI-driven solutions that meet organizational goals and client needs.Roles Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI solutions ensuring alignment with project objectives and quality standards.
- Facilitate knowledge sharing and mentoring within the team to foster continuous learning and skill development.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor project progress and proactively address any challenges to maintain delivery timelines.Professional Technical Skills:Must To Have Skills:
- Proficiency in Large Language Models (LLMs).
- Experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications in real-world scenarios.
- Familiarity with deep learning techniques, neural networks, and chatbot development.
- Ability to design scalable AI pipelines that ensure production-ready quality and performance.
- Knowledge of image processing methodologies and integration within AI systems.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Tue, 31 Mar 2026 12:00:00 +0530

Job Description

* As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
* In your role, you may be responsible for:
* Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects
* Writing programs to cleanse and integrate data in an efficient and reusable manner
* Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
* Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
* Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

* Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
* Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
* Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
* Document solution architectures, design decisions, implementation details, and lessons learned.
* Create technical documentation, white papers, and best practice guides.

Preferred technical and professional experience

* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
* Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
* Experience and working knowledge in COBOL & JAVA would be preferred.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Chennai

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Tue, 31 Mar 2026 12:00:00 +0530

Job Description

As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your primary responsibilities will include:
Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer.
Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies.
Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models.
Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery.
Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions and tackle cognitive computing challenges.
AI Frameworks and Tools: Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer to develop and deploy AI models.
Programming Skills: Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI solutions.
NLP and ML Methods: Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models.
Cloud Platforms and Databases: Experience working with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services, as well as relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

Preferred technical and professional experience

Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions.
Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions.
Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.

Years of Experience:
5 - 7

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Senior Central Monitor, Data Surveillance, Clinical Data Sciences at Pfizer

Tue, 31 Mar 2026 09:59:41 +0530

Job Description

ROLE SUMMARY

The Senior Central Monitor is responsible for ensuring the completeness, quality and integrity of the subject data in the clinical trial database under Risk Based Monitoring (RBM) mode. The areas of activity include but are not limited to: developing Risk-Based Monitoring system for applicable studies, ensuring key risk indicators (KRIs) properly defined and set up in the system to support the study, processing and reviewing study data in the system for the signal and action management, follow up for the issue resolution. The Senior Central Monitor ensures risk based monitoring activities comply with regulations, applicable Standard Operating Procedures (SOPs) and Processes at all times and is familiar with supported systems (RBM system, etc.) and able to troubleshoot and provide rapid response for all database issues. The Senior Central Monitor ensures quality oversight/control steps implemented in the central monitor activities. The Senior Central Monitor works with the global study team to meet the study objectives.

ROLE RESPONSIBILITIES

General:

Implement global strategies, initiatives, processes, and standards to ensure consistent, efficient, and quality processes to meet quality, timelines and deliverables.

Provide technical expertise to set up and test study level Risk-based Monitoring system

Review study level system outputs to process for the signal and action management

Plan and execute communication plans & methods to ensure customer satisfaction and enable improvements to be implemented during the course of a study.

Able to resolve conflicts, influence and communicate with key stakeholders and customers.

Implement quality oversight/control steps implemented in the central monitor activities.

System setup Functions:

Review protocols to ensure the set-up, review and reporting requirements can be met and are standardized.

Provide technical oversight, guidance and coordination for all the central monitor activities.

Set up and test RBM system at study level to ensure system quality.

Define key risk indicators (KRIs) in study system and ensure consistency between the standard level and the study level.

Set up dictionary for data quality assessment DQA in study system

Ensure RBM system align with the protocol and adhere to ICH GCP, SOPs, corporate standards and regulatory requirements.

Data review Functions:

Work with Study Team to define the issue resolution for the reviewing findings as signal and action.

Develop, implement and maintain Quality Control related documentations for RBM related activities to ensure data completeness and accuracy.

Perform central monitoring activities including review system outputs, propose suggestion for signal and action management, and follow up with study team for the action resolution.

Work with Clinical Data Scientist (CDS) to ensure all signal and actions are properly mitigated and RBM systems properly released.

Ensure lessons learnt during the course of the study are documented and shared with other central monitors/ study teams to facilitate cross-study learning.

BASIC QUALIFICATIONS:

Bachelor s degree or above of equivalent experience in a scientific or business-related discipline required.

Minimum 7 years of relevant working experience in the clinical development field.

Working knowledge of clinical development process, understanding concepts of Phase I-IV and principles of study design

Previous experience within a data management role, understanding key processes and principles associated with role including CRF design, database set-up, edit check specification, DMPs and data cleaning activities

Knowledge of clinical trial database and its applications

Knowledge of Windows Environment and its applications (Word, Excel, PowerPoint, Project, etc.)

Experience in Oracle, PL/SQL, SAS, Java, relational database design and database programming skills.

Technical Skill Requirements:

Technical expertise and business experience in supporting clinical trials database development, data management, site monitoring, etc.

Thorough understanding of the processes associated with clinical study management, data management, and regulatory operations.

Project management skills and technical capabilities as well as effective verbal and written communication skills in relating to colleagues and associates both inside and outside the organization.

Works independently, receives instruction primarily on unusual situations

Ability to organize tasks, time and priorities; ability to multi-task

Ability to communicate effectively and appropriately with internal & external stakeholders, locally and globally

Strong understanding of the state-of-the-art technologies to evaluate and leverage them into improved business processes for worldwide deployment and adoption.

PHYSICAL/MENTAL REQUIREMENTS

Primarily an office-based position involving sitting, walking to meetings, making presentations, etc.

Work Location Assignment: Hybrid

Medical

Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Statistician
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Chennai

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[Full Time] Sprinklr AI Agent / Gen AI at Tata Consultancy

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Role & responsibilities
Experience delivering Generative AI bots, automation use cases, or AI POCs
Exposure to conversational AI platforms and contact center automation
Strong understanding of intent design, dialog flows, and AI performance optimization
Profiles already familiar with Sprinklr as a platform would be strongly preferred
Preferred candidate profile
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Hyderabad

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[Full Time] Data Science Engineer - India at Infosys

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Responsibilities
Anchor ML development track in a client project
Data collection, profiling, EDA & data preparation
AI Model development, experimentation, tuning & validation
Present findings to business users & project management teams
Propose ML based solution approaches & estimates for new use cases
Contribute to AI based modules in Infosys solutions development
Explore new advances in AI continuously and execute PoCs
Mentoring Guide junior team members & evangelize AI in organization
Technical skills
Programming: Python, R, SQL
ML algorithms:
Statistical ML algorithms
Deep Neural Network architectures
Model ensembling
Generative AI models
ML for Responsible AI
AI domains - NLP, speech, computer vision, structured data
Learning patterns supervised, unsupervised, reinforcement learning
Tools for data analysis, auto ML, model deployment & scaling, model fine tuning
Knowledge of different Model fine tuning approaches for Large models
Knowledge of datasets, pre-built models available in open community and 3rd party providers
Knowledge of software development & architectures
Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP
Knowledge of Model Quantization and Pruning
Past experience playing a Data Scientist role
Soft Skills
Good verbal & written communication skills articulate value of AI to business, project managers & other team members
Ability to break complex problem into smaller problems and create hypothesis
Innovation and experimentation
Academic background
Degree in quantitative field mathematics/ statistics/ computer science/ engineering
EXP-5-14 years
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Pune

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[Full Time] AI / ML Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

About The Role

Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Machine Learning Operations

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Continuously monitor and optimize the performance of AI models and applications. Professional & Technical Skills:
- Must To Have Skills:
Proficiency in Machine Learning Operations.- Good To Have Skills:
Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Strong understanding of model deployment and monitoring techniques.- Experience with containerization technologies like Docker and Kubernetes.- Familiarity with programming languages such as Python or R for data analysis and model development. Additional Information:- The candidate should have minimum 3 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Consultant / Senior Consultant - Data Scientist at Firstsource

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

About Firstsource
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.

Job Location: Remote
Job Title : Consultant / Senior Consultant Job Summary
We are seeking a skilled AI/ML professional to develop and fine-tune NLP models tailored to the mortgage industry. The role involves end-to-end data analysis, model training (including instruction tuning and RLHF), and algorithm optimization. The ideal candidate will collaborate with domain experts, conduct rigorous experimentation, and uphold ethical AI practices to deliver accurate, relevant, and bias-mitigated solutions.
Key Roles & Responsibilities:
Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training.
Model Development and Fine-Tuning: Research and implement state-of-the-art NLP models, focusing on pre-training as well instruction tuning pre- trained LLMs for mortgage-specific applications. Utilize techniques like RLHF to improve model alignment with human preferences and enhance decision-making capabilities.
Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency.
Collaboration: Work with domain experts to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable.
Experimentation: Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements.
Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility.
Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, implementing strategies to mitigate them.
Required Skills and Qualifications
Technical Expertise: Strong background in machine learning, deep learning, and NLP, Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers) for developing language models.
Data Handling: Proficiency in handling large datasets, feature engineering, and statistical analysis
Problem Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches.
Communication: Excellent communication skills to effectively collaborate with technical teams and non-technical stakeholders.
Educational Background: Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions.
Ethics Awareness: Understanding of ethical considerations in AI development, including bias detection and mitigation.
Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Firstsource
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure the successful integration of AI capabilities into existing workflows and applications.Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing and mentoring within the team to enhance overall skill levels.
- Evaluate and implement new AI technologies and methodologies to improve project outcomes.Professional & Technical Skills:
Must To Have Skills:
- Proficiency in Large Language Models.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms and services, particularly those related to AI and machine learning.
- Familiarity with data preprocessing and augmentation techniques to enhance model performance.
- Ability to design and implement APIs for AI applications.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Lead Data Scientist at EXL

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Job Title: Lead Data Scientist Banking
Experience: 5+ Years
Location: Bangalore / Pune / Gurgaon / Hyderabad
Industry: Banking & Financial Services
Job Summary
EXL Service is hiring a Lead Data Scientist with strong expertise in Generative AI / LLMs, Natural Language Processing (NLP), and Deep Learning. The role requires hands-on model development experience, exposure to banking and financial services projects, and the ability to lead and mentor a team of data scientists and ML engineers.
Key Responsibilities
Design, develop, and deploy machine learning and deep learning models for banking use cases.
Build and implement Generative AI and LLM-based solutions for enterprise applications.
Develop NLP pipelines for processing structured and unstructured financial data.
Lead end-to-end model development including data preparation, feature engineering, training, validation, and deployment.
Work with cross-functional teams including data engineering, product, and client stakeholders.
Manage and mentor a team of data scientists and machine learning engineers.
Translate business problems into scalable data science solutions.
Participate in client discussions, solution design, and technical presentations.
Ensure model governance, documentation, and compliance with industry standards.
Core Skills Required
Generative AI / LLM
Minimum 12 years of hands-on experience with Generative AI or LLM-based solutions
Prompt engineering and LLM application development
Retrieval Augmented Generation (RAG) architectures
Experience with LLM frameworks such as LangChain or LlamaIndex
Experience working with vector databases
Natural Language Processing (NLP)
Text classification and document processing
Named Entity Recognition (NER)
Sentiment analysis and topic modeling
Financial document processing and information extraction
NLP model development using transformer-based architectures
Model training, evaluation, and optimization
Deployment of deep learning models in production environments
Banking Domain Experience (Mandatory)
Candidates must have experience working on banking or financial services analytics projects, including but not limited to:
Fraud detection and fraud analytics
Transaction monitoring
Credit risk analytics
Anti-Money Laundering (AML)
Customer analytics and segmentation
Financial document processing
Technical Skills
Programming: Python, SQL
Machine Learning: Scikit-learn, ML model development and evaluation
Deep Learning: TensorFlow, PyTorch
NLP: NLTK, SpaCy, Hugging Face Transformers
GenAI: LLM APIs, prompt engineering, RAG frameworks
Data Processing: Pandas, NumPy
Cloud Platforms: AWS / Azure / GCP
MLOps and model deployment frameworks
Leadership & Collaboration
Experience leading or mentoring data science teams
Ability to manage end-to-end AI project delivery
Experience working in client-facing environments
Strong communication and stakeholder management skills
Education
Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or related field

Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: EXL
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML EngineerProject Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Large Language ModelsGood to have skills :NA
Minimum 5 year(s) of experience is requiredEducational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced techniques such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure the successful integration of AI technologies into existing workflows and applications. Roles & Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Mentor junior team members to foster their professional growth and enhance team capabilities.
Continuously evaluate and implement new AI technologies and methodologies to improve project outcomes. Professional & Technical Skills:

Must To Have Skills:
Proficiency in Large Language Models.
Strong understanding of cloud AI services and their integration into applications.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with natural language processing techniques and tools.
Ability to design and implement scalable AI solutions that meet production standards. Additional Information:
The candidate should have minimum 5 years of experience in Large Language Models.
This position is based at our Bengaluru office.
A 15 years full time education is required.Qualification15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Principal Data Scientist at Red Hat

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
About the job
The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise.
We are seeking a highly experienced Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business.
In this role, you will be the voice of Red Hat''s technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively.
What will you do?
Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks.
Drive the development of next-generation AI/ML applications in a highly collaborative environment.
Oversee the design, implementation, and delivery of AI solutions.
Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis.
Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs.
What will you bring?
7+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face.
Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle.
Deep understanding of machine learning frameworks and experience in Generative AI application development.
Working knowledge of TensorFlow, TensorFlow Serving, Keras, PyTorch.
Comfortable working with a small team in a fast-paced, highly collaborative environment
Experience with GenAI application development - LLMs, Embedding models, Vector Databases
Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP.
Bachelors degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry
Experience developing highly scalable backend microservices in AWS
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Red Hat
Location(s): Bengaluru

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[Full Time] Retail - Consultant - Retail Specialized Data Scientist at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Job Title - Retail Specialized Data Scientist Level 9 SnC GN Data & AIManagement Level:09 - ConsultantLocation:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / KolkataMust have skills:
A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions.
Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams.
Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets.
Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns.
Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn).
Expertise in supervised and unsupervised learning algorithms
Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity.

Good to have skills:
Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing.
Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows.
Familiarity with designing scalable and efficient data pipelines and architecture.
Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly.
Job Summary:The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights.Roles & Responsibilities:
Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs.
Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns.
Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models.
Use AI-driven techniques for personalization, demand forecasting, and fraud detection.
Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases.
Stay updated on the latest trends in data science and retail technology.
Collaborate with executives, product managers, and marketing teams to translate insights into business actions.
Professional & Technical Skills:
Strong analytical and statistical skills.
Expertise in machine learning and AI.
Experience with retail-specific datasets and KPIs.
Proficiency in data visualization and reporting tools.
Ability to work with large datasets and complex data structures.
Strong communication skills to interact with both technical and non-technical stakeholders.
A solid understanding of the retail business and consumer behavior.
Programming Languages:Python, R, SQL, Scala
Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras
Visualization Tools:Tableau, Power BI, Matplotlib, Seaborn
Big Data Technologies:Hadoop, Spark, AWS, Google Cloud
Databases:SQL, NoSQL (MongoDB, Cassandra)

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Gen AI Developer (Strong Python) at Coforge

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
The Gen AI Developer will be responsible for the hands-on engineering of production-grade Generative AI systems. This role is specifically designed for developers with deep expertise in the Azure/AWS ecosystem and a focus on building Agentic AI systems that move beyond simple chat to autonomous task execution.

Key Responsibilities
AWS-Native AI Development: Build and deploy Generative AI applications using Amazon Bedrock, leveraging services like Bedrock Agents, Knowledge Bases, and Guardrails for Bedrock.
Agentic AI Engineering: Design and implement autonomous agent workflows using frameworks like LangGraph, AutoGen, or CrewAI. Develop agents capable of reasoning, multi-step planning, and tool-calling.
API & Microservices: Architect and develop robust RESTful APIs (using FastAPI or Flask) and serverless back-ends via AWS Lambda and API Gateway to expose AI capabilities to web and mobile front-ends.
Cloud Integration: Integrate LLMs with AWS data services, including Amazon S3, AWS Glue, and DynamoDB, to create seamless data pipelines for RAG (Retrieval-Augmented Generation).
Tool & Function Calling: Implement "Function Calling" capabilities, allowing AI agents to interface with external APIs, databases, and software systems to perform real-world actions.

Key Qualifications
Core Technical Skills:
Strong proficiency in Python (Boto3, LangChain, LlamaIndex).
Hands-on experience with Amazon Bedrock and Foundation Models (Claude, Llama, Titan).
Proven experience building Agentic workflows (ReAct patterns, multi-agent coordination).
API Development: Expert knowledge of API design principles, authentication (OAuth2/JWT), and asynchronous programming in Python.

Share your resume over Aarushi.Shukla@Coforge.Com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

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[Full Time] Gen AI Engineer at Buzzworks Business

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Role & responsibilities:
Were looking for a GenAI Developer with strong experience in building and deploying real-world applications using LLMs, vector DBs, and cloud AI services. The role involves end-to-end design and development of scalable, production-ready GenAI systems. Candidates must explain real-world challenges faced during implementations.
Key Responsibilities:
Build GenAI apps using models like GPT, Claude, LLaMA with prompt engineering.
Develop RAG pipelines, multimodal use cases, and agent-based workflows.
Optimize cost by identifying AI opportunities and delivering efficient use cases.
Create Q&A systems using knowledge repositories and embeddings.
Ensure prompt safety and apply responsible AI principles.
Prevent prompt injection/jailbreaking via input/output controls.
Implement Human-in-the-Loop (HITL) workflows.
Handle real-time voice/text parsing, chunking, and conversion.
Deploy scalable apps on Azure (AI Studio) or AWS (Bedrock).
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Buzzworks Business
Location(s): Hyderabad

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[Full Time] Data Scientist at PayU

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Location : Bangalore / Mumbai / Gurgoan

Job Description

We are looking for a data scientist in the PayU intelligence team who will be primarily responsible for modeling

complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining,

and visualization techniques. Your primary focus will be to propose innovative ways utilizing graph databases and analytics

to look at the problems by applying data mining techniques, doing statistical analysis, validating your findings using an

experimental and iterative approach, and building high-quality prediction systems integrated with our services. You will

need strong business understanding, analytical and problem-solving skills, and programming knowledge.

Responsibilities

Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.

Job Classification
Industry: Events / Live Entertainment
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: PayU
Location(s): Noida, Gurugram

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[Full Time] BI Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Project Role :BI EngineerProject Role Description :Develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Integrate security and data privacy protection. Must have skills :Databricks Unified Data Analytics PlatformGood to have skills :NA
Minimum 3 year(s) of experience is requiredEducational Qualification :15 years full time educationSummary:As a BI Engineer, you will develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Your typical day will involve collaborating with various teams to ensure the integration of security and data privacy protection while delivering impactful data solutions that enhance organizational decision-making processes. Roles & Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Facilitate knowledge sharing sessions to enhance team capabilities.
Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills:

Must To Have Skills:
Proficiency in Databricks Unified Data Analytics Platform.
Strong understanding of data integration techniques and ETL processes.
Experience with data modeling and database design.
Familiarity with data visualization tools to present insights effectively.
Ability to implement data governance and security measures. Additional Information:
The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
This position is based at our Hyderabad office.
A 15 years full time education is required.Qualification15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] AI Engineer (With Snowflake Cortex Mandatory) at Coforge

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
The Data Engineer is responsible for building and operating scalable data pipelines and curated datasets on the Snowflake platform. The role emphasizes high standards of data quality, performance, governance, and automation to support analytics and AI initiatives across the enterprise.

Key Responsibilities:-
Design and implement automated ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines to ingest data from multiple enterprise systems.
Construct scalable data transformation workflows using Python and advanced SQL, ensuring both reliability and maintainability.
Perform data discovery and profiling of new and existing data sources, including documentation of data definitions, relationships, and completeness.
Conduct data exploration and validation activities to ensure datasets are ready for analytics and AI applications, translating business requirements into actionable data solutions.
Develop robust data models for analytics and reporting, including dimensional modeling (fact and dimension tables) and the creation of curated datasets optimized for consumption.
Implement data quality controls, such as validation rules, monitoring systems, and processes for remediating duplicates or inconsistencies, ensuring ongoing data quality management.
Optimize Snowflake performance through advanced SQL tuning and workload optimization strategies, including clustering and partitioning techniques. Manage data governance and metadata, including documenting lineage, establishing access controls, and aligning with enterprise security policies. Establish automation and CI/CD practices through Git-based workflows and automated deployment and monitoring checks.

Required Qualifications:-
Strong proficiency in Python for data processing, transformation, and pipeline automation.
Advanced SQL skills, including querying, transformation, and performance optimization.
Experience with libraries such as Pandas, PySpark, and NumPy.
Deep expertise with Snowflake, including data architecture, storage and compute optimization, and data sharing

Share your resume over Aarushi.Shukla@Coforge.Com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Work with broader team to build, analyze and improve the AI solutions.

You will also work with our software developers in consuming different enterprise applications
Required education
Bachelor's Degree Required technical and professional expertise

Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.

Proficient in Python with focus on Data Analytics Packages.

Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.

Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.

Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making.Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
Preferred technical and professional experience

Experience with conversation analytics. Experience with cloud technologies

Experience with data exploration tools such as Tableu
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Data Science Professional at Capgemini

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Your Role

Drive data analytics strategy from design through implementation while acting as a trusted advisor to our clients. Develop analytics roadmap and business case; analytics and data strategy; business analysis for problem solving; client engagement; stakeholder management; drive end-to-end analytics project

Data and Analytics Solution Architecture - helping our clients define, design and implement complex data solutions for critical business priorities

Leading projects which consist of delivery consultants with different analytics division like big data, data science, data engineering, data warehousing and data visualization to solve business problem

Managing client expectations and engagement staffing, issues and risks.

Your Profile

Education : Engineering graduates (B.E/B.Tech / PG degree (M.E/ M.Tech/ M.Sc/ MBA etc.) O ther graduates (Mathematics / Statistics / Computer Science & Applications). 4-8 years of experience in delivering data & analytics delivery engagements in one/two of the following areas preferably Consumer Products, Retail, Manufacturing, Automotive, Life Sciences, Financial Services, Telecom, Media, Technology.

Exposure of analytics frameworks, projects lifecycle. H ands-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Applied statistics skills, such as distributions, statistical inference & testing, etc.

Excellent understanding and hand-on experience on building Deep-learning models for text and image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Good understanding of GenAI & Agentic AI. Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV etc. Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc.

Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc. Experience on deployment of model in production, MLOps, GenAI technologies, project delivery management & team handling and support in RFP submission and client pitches from AI/ ML perspective.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Mumbai

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[Full Time] Data Platform Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Project Role :Data Platform Engineer
Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills :Databricks Unified Data Analytics Platform

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time education"Summary-Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, contribute to key decisions, and manage the development process to deliver high-quality applications that enhance operational efficiency and user experience.Roles Responsibilities-Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Facilitate knowledge sharing sessions to enhance team capabilities.
Monitor project progress and ensure timely delivery of application features.Professional Technical Skills- Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.Must Have Skills-
Proficiency in Databricks Unified Data Analytics Platform.
Strong understanding of data integration and ETL processes.
Experience with cloud-based data solutions and analytics.
Familiarity with programming languages such as Python or Scala.
Ability to work with data visualization tools to present insights.
Additional Information-
The candidate should have minimum 5+ years of experience in Databricks Unified Data Analytics Platform.
A 15 years full time education is required."Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] Data Scientist-Artificial Intelligence at IBM

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Work with broader team to build, analyze and improve the AI solutions.

You will also work with our software developers in consuming different enterprise applications.

Required education
Bachelor''s Degree
Preferred education
Master''s Degree
Required technical and professional expertise

Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.

Proficient in Python with focus on Data Analytics Packages. Strategy Analyze large, complex data sets and provide actionable insights to inform business decisions.

Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.

Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making.

Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models.

Preferred technical and professional experience

Experience with conversation analytics. Experience with cloud technologies

Experience with data exploration tools such as Tableau.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

A Data Scientist with expertise in Artificial Intelligence is a professional who skilfully combines data analysis and business acumen to tackle cognitive computing challenges. They are proficient in advanced analytics techniques for structured data and have a deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content. They are specialized in foundation models and large language models and skilled in architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, along with Experience in tools like GitHub Copilot, Amazon Code Whisperer. This expertise enables them to create comprehensive cognitive solutions that effectively process and analyse both structured and unstructured data. The professional should also have a strong foundation in one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies. This skill set is valuable in solving complex business problems and leveraging the power of artificial intelligence for cognitive computing. They have strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face; understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc; familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services. They work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and jQuery). They have experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.

Proficient in Python with focus on Data Analytics Packages. Strategy Analyze large, complex data sets and provide actionable insights to inform business decisions.

Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.

Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making.

Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models

Preferred technical and professional experience

Experience with conversation analytics. Experience with cloud technologies

Experience with data exploration tools such as Tableau.

Years of Experience:
5 - 7

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Data Platform Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Project Role :Data Platform Engineer
Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills :Databricks Unified Data Analytics Platform

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time education"Summary-Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, contribute to key decisions, and manage the development process to deliver high-quality applications that enhance operational efficiency and user experience.Roles Responsibilities-Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Facilitate knowledge sharing sessions to enhance team capabilities.
Monitor project progress and ensure timely delivery of application features.Professional Technical Skills- Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.Must Have Skills-
Proficiency in Databricks Unified Data Analytics Platform.
Strong understanding of data integration and ETL processes.
Experience with cloud-based data solutions and analytics.
Familiarity with programming languages such as Python or Scala.
Ability to work with data visualization tools to present insights.
Additional Information-
The candidate should have minimum 5+ years of experience in Databricks Unified Data Analytics Platform.
A 15 years full time education is required."Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML EngineerProject Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Large Language ModelsGood to have skills :NA
Minimum 3 year(s) of experience is requiredEducational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced techniques such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure the successful integration of AI technologies into existing workflows and applications. Roles & Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Mentor junior team members to foster their professional growth and enhance team capabilities.
Continuously evaluate and implement new AI technologies and methodologies to improve project outcomes. Professional & Technical Skills:

Must To Have Skills:
Proficiency in Large Language Models.
Strong understanding of cloud AI services and their integration into applications.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with natural language processing techniques and tools.
Ability to design and implement scalable AI solutions that meet production standards. Additional Information:
The candidate should have minimum 5 years of experience in Large Language Models.
This position is based at our Bengaluru office.
A 15 years full time education is required.Qualification15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] DBT Engineer (Data Build Tool) at Coforge

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
We are looking for a strong Data Engineer with hands-on experience in building data pipelines, performing transformations, and working with cloud-based data tools. The ideal candidate must have solid SQL skills, good understanding of data modelling, and hands-on exposure to DBT and cloud platforms (preferably GCP).

Key Responsibilities
Build and maintain scalable ETL/ELT pipelines. Develop and enhance DBT models and transformations.
Perform data cleansing, validation, and quality checks. Support cloud-based data engineering workloads (preferably GCP).
Write optimized SQL queries for analytics and data processing.
Collaborate with Data Engineers, Analysts, and Architects for requirement understanding.
Monitor pipeline health, troubleshoot issues, and ensure data reliability.
Document workflows, models, and mappings.

Required Skills (Must Have)
Data Modeling understanding (Star/Snowflake).
Strong SQL skills.
Hands-on experience with DBT.
Experience with at least one major cloud platform: GCP (BigQuery, Dataflow, Dataproc, Composer, GCS preferred) OR AWS / Azure equivalent services.
Experience with data transformation and loading technologies.
Good knowledge of Python for data tasks.

Share your resume over Aarushi.Shukla@Coforge.Com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Noida, Gurugram

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[Full Time] Data Scientist at Alstom

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Your future role
Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates.
You'll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains.
Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience.

Well look to you for:
Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts
Implementing feature selection/extraction methods to improve ML models and derive interpretable insights
Building and optimizing machine learning models, including supervised and unsupervised approaches
Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics
Collaborating with domain experts to define and meet business requirements
Creating reports and explanatory materials to communicate insights effectively
Evaluating opportunities from emerging mathematical approaches and data science technologies
Applying strong testing and quality assurance practices
All about you
We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role:
Masters Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines
7+ years of experience in data science/machine learning.
Excellent knowledge of Python programming
Understanding of modern statistics, including time-series and signal processing, text mining, or image processing
Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow)
Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning)
Strong knowledge on Generative AI, Large Language Models
Experience in building and optimizing supervised and unsupervised ML models
Experience with database management (SQL, ElasticSearch, etc.)
Proficiency in a LINUX environment (shell scripting)
[Optional: Experience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining]
[Optional: Familiarity with Git and release management]
Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also:
Enjoy stability, challenges and a long-term career free from boring daily routines
Work with cutting-edge technologies to revolutionize digital mobility
Collaborate with cross-functional teams and supportive colleagues
Contribute to innovative projects in the mobility domain
Utilise our flexible and inclusive working environment
Steer your career in whatever direction you choose across functions and countries
Benefit from our investment in your development, through award-winning learning programs
Progress towards leadership or technical expert roles
Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)
Job Classification
Industry: Urban Transport
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Alstom
Location(s): Bengaluru

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[Full Time] Senior Data Engineer (AWS) at Coforge

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies, AWS & Scala Mandatory. The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks.

Key Responsibilities:
Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data.
Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway.
Work extensively with streaming platforms like Kafka, Flink, Spark Streaming.
Develop and optimize data ingestion workflows using Apache NiFi, Airflow, Sqoop, Oozie.
Build and maintain data lakes and analytics platforms using AWS Lake Formation.
Hands-on development using Scala with Spark for distributed data processing.
Work with NoSQL databases including DynamoDB, HBase, and Hadoop ecosystem tools like MapReduce, Hive, HDFS.
Collaborate with cross-functional teams to deliver high-performance data solutions.

Technical Skills Required:
Mandatory: Spark, AWS, Hadoop
Big Data Tools: EMR, Glue, Hive, HDFS, HBase, MapReduce
Streaming & Messaging: Kafka, Kinesis, Flink, Spark Streaming
Data Ingestion: Apache NiFi, Airflow, Sqoop, Oozie
Cloud Platforms: AWS (preferred), Hortonworks, Cloudera, MapR
Programming: Scala (with Spark), Python (optional)
Databases: DynamoDB, NoSQL, HBase
Others: AWS Athena, Lake Formation, CloudFormation

Share your resume over Aarushi.Shukla@coforge.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

Apply

[Full Time] Gen AI Developer (Strong Python) at Coforge

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
The Gen AI Developer will be responsible for the hands-on engineering of production-grade Generative AI systems. This role is specifically designed for developers with deep expertise in the Azure/AWS ecosystem and a focus on building Agentic AI systems that move beyond simple chat to autonomous task execution.

Key Responsibilities
AWS-Native AI Development: Build and deploy Generative AI applications using Amazon Bedrock, leveraging services like Bedrock Agents, Knowledge Bases, and Guardrails for Bedrock.
Agentic AI Engineering: Design and implement autonomous agent workflows using frameworks like LangGraph, AutoGen, or CrewAI. Develop agents capable of reasoning, multi-step planning, and tool-calling.
API & Microservices: Architect and develop robust RESTful APIs (using FastAPI or Flask) and serverless back-ends via AWS Lambda and API Gateway to expose AI capabilities to web and mobile front-ends.
Cloud Integration: Integrate LLMs with AWS data services, including Amazon S3, AWS Glue, and DynamoDB, to create seamless data pipelines for RAG (Retrieval-Augmented Generation).
Tool & Function Calling: Implement "Function Calling" capabilities, allowing AI agents to interface with external APIs, databases, and software systems to perform real-world actions.

Key Qualifications
Core Technical Skills:
Strong proficiency in Python (Boto3, LangChain, LlamaIndex).
Hands-on experience with Amazon Bedrock and Foundation Models (Claude, Llama, Titan).
Proven experience building Agentic workflows (ReAct patterns, multi-agent coordination).
API Development: Expert knowledge of API design principles, authentication (OAuth2/JWT), and asynchronous programming in Python.

Share your resume over Aarushi.Shukla@Coforge.Com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

Apply

[Full Time] Data Scientist-Artificial Intelligence at IBM

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Work with broader team to build, analyze and improve the AI solutions.

You will also work with our software developers in consuming different enterprise applications.

Required education
Bachelor''s Degree
Preferred education
Master''s Degree
Required technical and professional expertise

Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.

Proficient in Python with focus on Data Analytics Packages. Strategy Analyze large, complex data sets and provide actionable insights to inform business decisions.

Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.

Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making.

Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models.

Preferred technical and professional experience

Experience with conversation analytics. Experience with cloud technologies

Experience with data exploration tools such as Tableau.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

Apply

[Full Time] AI / ML Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML EngineerProject Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Large Language ModelsGood to have skills :NA
Minimum 7.5 year(s) of experience is requiredEducational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced techniques such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure the successful integration of AI technologies into existing workflows and applications. Roles & Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Mentor junior team members to foster their professional growth and enhance team capabilities.
Continuously evaluate and implement new AI technologies and methodologies to improve project outcomes. Professional & Technical Skills:

Must To Have Skills:
Proficiency in Large Language Models.
Strong understanding of cloud AI services and their integration into applications.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with natural language processing techniques and tools.
Ability to design and implement scalable AI solutions that meet production standards. Additional Information:
The candidate should have minimum 5 years of experience in Large Language Models.
This position is based at our Bengaluru office.
A 15 years full time education is required.Qualification15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] Data Science Engineer - India at Infosys

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Responsibilities
Anchor ML development track in a client project
Data collection, profiling, EDA & data preparation
AI Model development, experimentation, tuning & validation
Present findings to business users & project management teams
Propose ML based solution approaches & estimates for new use cases
Contribute to AI based modules in Infosys solutions development
Explore new advances in AI continuously and execute PoCs
Mentoring Guide junior team members & evangelize AI in organization
Technical skills
Programming: Python, R, SQL
ML algorithms:
Statistical ML algorithms
Deep Neural Network architectures
Model ensembling
Generative AI models
ML for Responsible AI
AI domains - NLP, speech, computer vision, structured data
Learning patterns supervised, unsupervised, reinforcement learning
Tools for data analysis, auto ML, model deployment & scaling, model fine tuning
Knowledge of different Model fine tuning approaches for Large models
Knowledge of datasets, pre-built models available in open community and 3rd party providers
Knowledge of software development & architectures
Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP
Knowledge of Model Quantization and Pruning
Past experience playing a Data Scientist role
Soft Skills
Good verbal & written communication skills articulate value of AI to business, project managers & other team members
Ability to break complex problem into smaller problems and create hypothesis
Innovation and experimentation
Academic background
Degree in quantitative field mathematics/ statistics/ computer science/ engineering
EXP-5-14 years
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Pune

Apply

[Full Time] AI / ML Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

About The Role

Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Machine Learning Operations

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Continuously monitor and optimize the performance of AI models and applications. Professional & Technical Skills:
- Must To Have Skills:
Proficiency in Machine Learning Operations.- Good To Have Skills:
Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Strong understanding of model deployment and monitoring techniques.- Experience with containerization technologies like Docker and Kubernetes.- Familiarity with programming languages such as Python or R for data analysis and model development. Additional Information:- The candidate should have minimum 3 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] AI / ML Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

About The Role

Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Machine Learning Operations

Good to have skills :NA
Minimum 5 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure the successful deployment of AI-driven solutions. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills:
- Must To Have Skills:
Proficiency in Machine Learning Operations.- Good To Have Skills:
Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Strong understanding of deep learning frameworks like TensorFlow or PyTorch.- Experience in deploying machine learning models in production environments.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] AI / ML Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models (LLMs)

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure the successful integration of AI capabilities into existing workflows and applications.Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing and mentoring within the team to enhance overall skill levels.
- Evaluate and implement new AI technologies and methodologies to improve project outcomes.Professional & Technical Skills:
Must To Have Skills:
- Proficiency in Large Language Models.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms and services, particularly those related to AI and machine learning.
- Familiarity with data preprocessing and augmentation techniques to enhance model performance.
- Ability to design and implement APIs for AI applications.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full time education is required. Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] AI / ML Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML EngineerProject Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Large Language ModelsGood to have skills :NA
Minimum 5 year(s) of experience is requiredEducational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced techniques such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure the successful integration of AI technologies into existing workflows and applications. Roles & Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Mentor junior team members to foster their professional growth and enhance team capabilities.
Continuously evaluate and implement new AI technologies and methodologies to improve project outcomes. Professional & Technical Skills:

Must To Have Skills:
Proficiency in Large Language Models.
Strong understanding of cloud AI services and their integration into applications.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with natural language processing techniques and tools.
Ability to design and implement scalable AI solutions that meet production standards. Additional Information:
The candidate should have minimum 5 years of experience in Large Language Models.
This position is based at our Bengaluru office.
A 15 years full time education is required.Qualification15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] Gen AI Developer at Coforge

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
We are Hiring Gen AI Developers ( AWS/Azure & Agentic AI Specialist) at Coforge Ltd.

Experience: 4 to 7 years
Employment Type: Full-time
Job Locations: Hyderabad & Greater Noida Only.

Apply Now: Gaurav.2.Kumar@coforge.com
WhatsApp: 9667427662
Role Objective:-

The Gen AI Developer will be responsible for the hands-on engineering of production-grade Generative AI systems.
This role is specifically designed for developers with deep expertise in the Azure/AWS ecosystem and a focus on building Agentic AI systems that move beyond simple chat to autonomous task execution.
You will build the APIs and back-end logic that allow AI agents to interact with enterprise tools and data securely.
Key Responsibilities:-

AWS-Native AI Development: Build and deploy Generative AI applications using Amazon Bedrock, leveraging services like Bedrock Agents, Knowledge Bases, and Guardrails for Bedrock.
Agentic AI Engineering: Design and implement autonomous agent workflows using frameworks like LangGraph, AutoGen, or CrewAI. Develop agents capable of reasoning, multi-step planning, and tool-calling.
API & Microservices: Architect and develop robust RESTful APIs (using FastAPI or Flask) and serverless back-ends via AWS Lambda and API Gateway to expose AI capabilities to web and mobile front-ends.
Cloud Integration: Integrate LLMs with AWS data services, including Amazon S3, AWS Glue, and DynamoDB, to create seamless data pipelines for RAG (Retrieval-Augmented Generation).
Tool & Function Calling: Implement "Function Calling" capabilities, allowing AI agents to interface with external APIs, databases, and software systems to perform real-world actions.
Security & Governance: Configure IAM roles and VPC security for AI workloads. Implement enterprise-grade guardrails to filter harmful content and protect PII.
Performance Tuning: Optimize model inference for latency and cost on AWS, utilizing AWS Step Functions for complex orchestration and CloudWatch for monitoring agent thought-processes.
Key Qualifications:-

Strong proficiency in Python (Boto3, LangChain, LlamaIndex).
Hands-on experience with Amazon Bedrock and Foundation Models (Claude, Llama, Titan).
Proven experience building Agentic workflows (ReAct patterns, multi-agent coordination).
API Development: Expert knowledge of API design principles, authentication (OAuth2/JWT), and asynchronous programming in Python.
Database Knowledge: Experience with Vector Databases (Amazon OpenSearch Serverless, Pinecone,or pgvector) and traditional NoSQL/SQL stores.
DevOps/MLOps: Familiarity with CI/CD for AI applications and monitoring
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

Apply

[Full Time] Data Scientist-Artificial Intelligence at IBM

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Work with broader team to build, analyze and improve the AI solutions.

You will also work with our software developers in consuming different enterprise applications.

Required education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise

Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.

Proficient in Python with focus on Data Analytics Packages. Strategy Analyze large, complex data sets and provide actionable insights to inform business decisions.

Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.

Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making.

Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models.

Preferred technical and professional experience

Experience with conversation analytics. Experience with cloud technologies

Experience with data exploration tools such as Tableau.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

Apply

[Full Time] Data Platform Engineer at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Project Role :Data Platform Engineer
Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills :Databricks Unified Data Analytics Platform

Good to have skills :NA
Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time education"Summary -Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, contribute to key decisions, and manage the development process to deliver high-quality applications that enhance operational efficiency and user experience.Roles Responsibilities-Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Facilitate knowledge sharing sessions to enhance team capabilities.
Monitor project progress and ensure timely delivery of application features.Professional Technical Skills-Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.Must Have Skills- Proficiency in Databricks Unified Data Analytics Platform.
Strong understanding of data integration and ETL processes.
Experience with cloud-based data solutions and analytics.
Familiarity with programming languages such as Python or Scala.
Ability to work with data visualization tools to present insights.
Additional Information-
The candidate should have minimum 10+ years of experience in Databricks Unified Data Analytics Platform.
A 15 years full time education is required."Qualification
15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] Lead Machine Learning Engineer at Policybazaar

Sat, 28 Mar 2026 12:00:00 +0530

Job Description
Lead ML Engineer:

We are looking to hire someone to help scale Machine Learning and Artifi cial Intelligence efforts at Paisabazaar. Youll work with the team that develops the models that shall power Paisabazaars products focused on Speech, NLP, Computer Vision and generative AI. Some of the problems include Automated Speech Recognition (ASR) of Hinglish customer-agent audio conversations and generating critical insights for business, building gen AI chatbots on top of the rich knowledge bases, leverage document intelligence for intelligent spend analytics that further power the chat layer of Paisabazaar.

This is a role for highly technical machine learning who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for developing machine learning models that positively impact the business, working with partners across the company including operations, product, and engineering. You will use research results to shape strategy for the company and help build a foundation of tools and practices used by quantitative staff across the company.

Required Skills and Qualification:

Strong background in classical machine learning and machine learning deployments is a must and preferably with 8+ years of experience.
Knowledge of deep learning, specializing in any of the following: Speech, NLP, Computer and generative AI.
Hands-on experience in PyTorch, Python, cloud (AWS/Azure/GCP) & Big Data platforms to manipulate large-scale structured and unstructured datasets.
Experience with GPU computing is a plus.
Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling.

Skills:- Data Science, Python, Azure/GCP/AWS, Apache Spark, Machine Learning (ML), NLP, Speech Recognition and Generative AI.
Job Classification
Industry: FinTech / Payments
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: Policybazaar
Location(s): Noida, Gurugram

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[Full Time] Data Scientist at Siemens

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Job Responsibilities:
Lead technical projects and mentor junior team members, providing guidance on data science methods, coding best practices, and architectural decisions to ensure high-quality results
Analyze and interpret complex procurement datasets, identify optimization opportunities, and translate findings into scalable, data-driven solutions supporting strategic decision-making
Collaborate closely in a global, cross-functional innovation team, working with internal stakeholders and experts to deliver cutting-edge solutions in an agile environment
Skill Set:
Must Have
10+ years of experience in software, data & related fields.
Engineering degree in Computer Science or Data Science related field.
5+ years of experience with classic time series analysis tools (e.g. ARIMA, State Space Models, VAR, Error Correction Models etc.)
5+ years of experience with machine learning models including Decision Tree, Regression, Gradient Boosting, and Deep Learning
5+ years of experience of Python / R coding
5+ years of experience with SQL coding
Strong working experience on LLMs, OpenAI or Copilot.
Strong knowledge with CI/CD concepts, AI/ML frameworks and libraries.
Experience in working on Azure tech stack, Snowflake, GitHub, Databricks
Experience building and deploying production ML models
Experience managing code repositories.
Solid understanding of machine learning algorithms, statistical modeling, data preprocessing and feature engineering; experience with API integration and data/AI regulatory compliance
Experience in Decision Science area / Operations Research / Applied Mathematics, Statistics, Data Science or Computer Science.
Strong stakeholder management and users focus, excellent communication and presentation skills
Nice to have:
Master's/Diploma degree in data science, mathematics, (business) computer science, statistics or a comparable field
Knowledge in IT Software Development and project management is a plus
Any experience in procurement or supply chain management is
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Siemens
Location(s): Bengaluru

Apply

[Full Time] Lead Data Scientist at Philips

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
The Lead Data Scientist architects, builds, and runs production-grade Machine Learning and Generative AI systemsowning the full lifecycle from model development to scalable cloud deployment and ongoing performance monitoring. In addition, the role partners with commercial stakeholders translate market/customer data into decision-ready insights and AI-enabled analytics solutions that drive measurable outcomes
Operating with a builder and translator mindset, the individual rapidly develops MVP analytics solutions, leverages AI to accelerate insight generation, and ensures strong product engineering fundamentals, data quality, and governance. The role plays a critical part in establishing a single source of truth for performance management across markets and channels while elevating analytics maturity from descriptive reporting to predictive and insight-led decision making.

Key Responsibilities:

1) ML & Deep Learning Model Development
Design, train, and optimize ML models for prediction, classification, ranking, time-series forecasting, anomaly detection, NLP, and recommendation use cases.
Build robust experimentation workflows (train/validation strategy, ablations, error analysis) and improve model quality through iterative tuning.
Ensure reproducibility and maintainability through clean code practices, versioning, and automated testing.

2) GenAI Engineering (LLMs, RAG / MCP / fine-tuning, Agents)
Build enterprise-grade LLM applications using RAG (retrieval-augmented generation), MCP, and fine-tuning approaches: chunking strategies, embedding generation, hybrid retrieval, reranking, prompt templates, and citation/attribution patterns.
Develop LLM applications with tool use/function calling patterns and agentic workflows where appropriate.
Implement systematic evaluation: curated eval sets, prompt regression tests, hallucination checks, retrieval quality metrics, and automated quality gates.

3) ML & LLM Operations: Productionization, Deployment & Monitoring
Deploy and operate real-time and batch inference solutions on Azure using managed endpoints and/or containerized serving.
Build CI/CD for ML systems: automated packaging, container builds, model validation tests, staged rollouts, and rollback strategies.
Establish lifecycle management: model registry/versioning, lineage, promotion workflows, and release governance.
Implement observability: latency, throughput, cost, drift signals, data quality checks, alerts, and performance degradation monitoring.

4) Pipeline Orchestration & Automation (Train Deploy)
Build standardized ML pipelines for training, evaluation, and deployment using orchestration tools (cloud-native pipelines and/or platform tools).
Automate dataset/version management, feature generation, scheduled retraining triggers, and approval workflows.
Define repeatable patterns for scalable experimentation and reliable production delivery.

5) Analytics Products, Dashboards & Data Governance
Own key analytics outputs as products (dashboards, reusable datasets, internal tools), continuously improving them based on usage patterns and performance gaps.
Build and automate dashboards and analytical components using scalable SQL logic, Python transformations, and reusable modules.
Act as owner for critical commercial/syndicated datasets (e.g., GfK, Circana, Nielsen or equivalent): definitions, assumptions, and limitations, ensuring transparent logic and trust in outputs.
Partner with data engineering/IT to ensure data quality, harmonization, and governance through strong validation and reconciliation practices.

6) Stakeholder Partnership & Decision Support (Lightweight, High Impact)
Serve as trusted analytics thought partner to senior stakeholders (e.g., BU leadership, Sales, Marketing, Finance), shaping problem statements and aligning on success metrics.
Translate complex analytics into clear recommendations with a decision-oriented storyline (so-what / now-what), tailored for leadership forums and reviews.
Support performance reviews, planning cycles, and high-priority ad-hoc requests with speed, rigor, and confidence; proactively challenge assumptions with fact-based insights.

7) Responsible AI, Security, and Risk Controls (GenAI-ready)
Implement guardrails: prompt injection defenses, sensitive data protections, output validation, and secure tool execution patterns.
Apply responsible AI practices: transparent evaluation criteria, auditability, and risk controls aligned to enterprise needs.

8) Technical Leadership (Lead-level Expectations)
Set engineering standards for DS/ML codebases: design docs, code review practices, testing discipline, and production readiness checklists.
Mentor data scientists/ML engineers on modeling, GenAI engineering, and MLOps best practices.
Lead architectural decisions across modeling approaches, retrieval stack, serving patterns, and evaluation strategy.

Core Skills & Competencies

Must-have (Technical)
Strong Python (production-quality coding) and solid CS fundamentals; strong SQL for data access and validation.
Depth in ML: Traditional ML exposure and at least one deep learning framework (PyTorch/TensorFlow), with strong understanding of metrics and failure modes.
GenAI implementation: RAG / MCP / fine-tuning, embeddings/vector search, prompt orchestration, evaluation harnesses, and LLM application patterns.
Production deployment experience on AWS or Azure (model/LLM app deployment, API serving, scaling, monitoring).
MLOps tooling: experiment tracking, model registry, CI/CD, and pipeline orchestration (e.g., MLflow or equivalent patterns).

Good-to-have (Business + Influence)
Strong business acumen and ability to connect disparate data points into compelling narratives that influence senior stakeholders.
Builder/MVP mindsetrapid prototyping and iterating based on stakeholder feedback while maintaining data quality and governance

Education Requirements
Bachelors degree in engineering, Computer Science, Statistics, Economics, Mathematics, or a related quantitative field.
Masters degree preferred (e.g., Data Analytics, Business Analytics, Applied Statistics, Economics, AI, or MBA with strong analytics focus).
Continuous learning mindset expected, with demonstrated upskilling in advanced analytics, AI, or data engineering concepts (formal or informal).

Note: This role values applied problem-solving and business impact over purely academic specialization.

You're the right fit if:

Proven track record of owning end-to-end analytics domains, not just contributing to isolated analyses or consuming pre-built reports.
712+ years in hands-on Data Science / ML Engineering with multiple production deployments owned end-to-end.
Demonstrated ability to take solutions from experimentation production (reproducible pipelines, deployment to managed endpoints/container platforms, monitoring + iterative improvement).
Strong GenAI delivery record: shipped RAG/MCP/fine-tuned LLM applications with measurable quality controls, safety measures, and operational readiness.
Experience operating in complex, matrixed environments and partnering with senior stakeholders to drive insight-led decision making
Hands-on exposure to AI-enabled analytics, including the use of GenAI tools (e.g., ChatGPT, Claude, or similar) to accelerate insight generation, analysis, or productivity.
Strong experience partnering with senior business stakeholders (BU leaders, Sales, Marketing, Finance), influencing decisions through insight-led storytelling.
Job Classification
Industry: Consumer Electronics & Appliances
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Philips
Location(s): Bengaluru

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[Full Time] Computer Vision Engineer(5-10 YEARS)-H at Infosys

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Roles and Responsibilities
Design and develop computer vision algorithms using OpenCV, YOLO, TensorFlow, CNN, and other relevant tools.
Collaborate with cross-functional teams to integrate computer vision solutions into larger projects.
Troubleshoot complex issues related to computer vision system performance optimization.
Stay up-to-date with latest advancements in computer vision AI research and apply them to improve project outcomes.
Desired Candidate Profile
5-10 years of experience in Computer Vision Engineering or a related field.
Strong understanding of Artificial Intelligence concepts including Machine Learning, Deep Learning, Natural Language Processing.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Computer Vision
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Bhubaneswar

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[Full Time] Machine Learning Engineer (C++, ML/DL) at Siemens

Fri, 27 Mar 2026 12:00:00 +0530

Job Description

Siemens Healthineers has openings for full-time Machine Learning Engineers to support the development of AI-based healthcare products. The selected candidate will work on an AI application within the AI-Rad Companion suite of clinical AI solutions.

This role focuses on productizing medical imaging AI algorithms developed by research teams and releasing them through internal product development processes. A strong understanding of machine learning fundamentals and image processing is essential. Based on product requirements defined by Product Management, the engineer will work closely with research, product, and data science teams. The role also involves collaborating with data scientists to build and maintain clinical evaluation pipelines .

The applicant will join our Machine Learning Engineering group , which specializes in transforming medical imaging AI research into production-ready capabilities for deployment across edge, scanner, and cloud platforms. The team is known for building reliable, high-performance systems and translating advanced research into scalable, real-world impact.

Roles and responsibilities:

Contribute across the SDLC life cycle , analysis, Design, productization/implementation of machine learning/AI algorithms, including model re-training, evaluation, productization, deployment, and monitoring etc.

Work closely with research teams to translate Proof of Concept (PoCs) into robust, maintainable, and production-ready AI algorithm implementations .

Implement PoCs using emerging technologies e.g. Agentic AI to improve MLOps Efficiency

Drive key non-functional requirements such as latency/throughput, memory footprint, reliability, logging/traceability, and edge/cloud deployment constraints.

Build and maintain CI/CD pipelines for automated builds, test execution, quality gates, and release-ready packaging of code and model artifacts.

Deliver enhancements and defect fixes in line with coding standards, architecture guidelines, and committed timelines .

Implement requirement-driven unit, component, and end-to-end pipeline tests to ensure correctness and prevent regression.

Participate in design and code reviews, providing technical feedback to improve quality, consistency, and maintainability .

Required Skills & Qualifications

B.E./B.Tech/M.Tech (Computer Science, Electronics) / MCA

4+ years of experience in software design and development

Strong knowledge of C++ and Python , with solid object-oriented programming skills

Experience in AI algorithm development (ML/DL)

Strong understanding of image processing

Ability to learn new technologies quickly and adapt to changing needs

Strong problem-solving and debugging skills

Good interpersonal and communication skills

Strong team player with the ability to work independently with minimal guidance and self-driven exploration

Preferred Skills (Nice to Have)

Experience working with DICOM imaging data and related workflows.

Working knowledge of medical imaging and vision libraries such as ITK, Intel IPP, and OpenCV

Hands-on experience with one or more ML/DL frameworks (e.g., PyTorch, TensorFlow)

Experience in using analytics/MLOps platforms such as Databricks or Azure ML Studio

Basic understanding of local LLM deployment and/or integration of Azure OpenAI APIs into applications

Expertise in CMake for creating maintainable, cross-platform build systems.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Siemens
Location(s): Bengaluru

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[Walk-ins] Ey Gds Walk In Gen Ai Engineer Interview-4th April- Hyderabad at EY

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
We are looking for talented professionals with 5 to 14 years of experience and strong expertise in:

NLP/RAG/LLM
Python & Machine Learning
Prompt Engineering
Experience in building, fine-tuning, and deploying GenAI solutions
AWS /Azure

Date: 4th April 2026
Location: EY GDS Hyderabad
Time: 9:30 AM onwards

Mode: Face-to-Face Interview (All rounds will be completed on the same day)

If you are interested, please apply with your updated resume, and our team will share the slot confirmation.
Please note: Only shortlisted candidates will receive the interview invite.

Kindly ensure you meet the required experience criteria before applying.
Looking forward to meeting you at the drive!
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Walk-ins
Contact Details:
Company: EY
Location(s): Hyderabad

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[Full Time] Data Scientist - Gen Ai + Nlp & Ml at Tiger Analytics

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Role & responsibilities
We are looking for a highly motivated Data Scientist (4-9 years experience) to design, develop, and deploy advanced machine learning solutions that solve complex business problems. The ideal candidate has strong expertise in Python, SQL, NLP, and Generative AI/LLMs, with the ability to translate business requirements into scalable analytical solutions.
This role involves working closely with product, engineering, and business stakeholders to build impactful AI-driven capabilities that enhance user experience and operational efficiency.
Independently design and implement end-to-end data science solutions to address business challenges.
Develop, train, validate, and deploy machine learning models using Python and SQL.
Perform feature engineering, model evaluation, and optimization using advanced statistical techniques.
Build NLP solutions leveraging text, transcription, and unstructured datasets.
Develop and integrate Generative AI and LLM-based solutions to enhance product capabilities.
Translate business requirements into analytical frameworks and scalable ML pipelines.
Collaborate with engineering and product teams to support model deployment and productionization.
Identify workflow/process gaps and architect data-driven solutions for operational improvements.
Stay updated with advancements in AI, NLP, and LLMs; evaluate emerging algorithms for business applications.
Create documentation and present insights to stakeholders to ensure alignment with organizational objectives.
Preferred candidate profile
4- 9 years of experience as a Data Scientist or in a related role.
Strong problem-solving skills with a structured approach to complex business challenges.
Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.
Hands-on experience in model development, validation, and deployment.
Expertise in NLP techniques (text classification, entity recognition, embeddings, summarization, etc.).
Experience working with Generative AI, LLMs, or transformer-based architectures.
Experience handling large datasets and writing production-grade code.
Strong communication skills with experience working with cross-functional stakeholders.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Tiger Analytics
Location(s): Chennai

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[Full Time] Generative Ai Developer (5-10 Years)- Pan India at Infosys

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
We are seeking an innovative Generative AI Developer to design, develop, and deploy AI-driven solutions using large language models (LLMs) and generative AI frameworks.
The ideal candidate will have strong expertise in Python, machine learning, and prompt engineering, with experience in building scalable AI applications for text, image, and multimodal generation.

Key Responsibilities:
Develop and fine-tune LLMs and generative AI models for text, image, and multimodal tasks.
Implement solutions using frameworks like Hugging Face Transformers, LangChain, OpenAI API, or similar.
Design prompt engineering strategies for optimal model performance.
Integrate generative AI models into applications and workflows using APIs and microservices.
Optimize models for accuracy, latency, and cost efficiency.
Collaborate with data scientists, ML engineers, and product teams to deliver AI-driven features.
Stay updated with the latest advancements in Gen AI, LLMs, and AI ethics.
Required Skills:
Strong proficiency in Python and ML libraries (PyTorch, TensorFlow).
Hands-on experience with LLMs (GPT, LLaMA, Falcon, etc.) and generative AI frameworks.
Knowledge of prompt engineering, fine-tuning, and model evaluation.
Familiarity with cloud platforms (AWS, Azure, GCP) and API integration.
Understanding of data preprocessing, vector databases (Pinecone, Weaviate), and embedding models.

LOCATION: PAN INDIA

EXPERIENCE: 5-10 YEARS
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Machine Learning Engineer at CGI

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Education Qualification:
Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience
Position Description:
Must have skills : Must have experience in Programming Language (Python, R)
Machine learning frameworks: scikit-learn, TensorFlow, PyTorch, or Keras
NLP Libraries : NLTK, spaCy, or Stanford CoreNLP
Data analysis and visualization tools: Pandas, NumPy, Matplotlib, or Seaborn
Experience with cloud-based platforms: AWS, Azure, or Google Cloud
Must have 3+ years of relevant experience in machine learning, NLP, or a related field
Experience with automated process development, deployment, and maintenance
Should be familiar with ticketing systems and auditing processes is a plus
Soft Skills : Excellent communication and collaboration skills
Ability to work in a fast-paced environment and adapt to changing requirements
Strong problem-solving skills and attention to detail
Good to have skills :
Experience with containerization: Docker, Kubernetes, or other containerization tools
Familiarity with DevOps practices: Agile development, continuous integration, and continuous deployment
Knowledge of IT service management: ITIL, COBIT, or other IT service management frameworks
Certifications: Certified Data Scientist, Certified Machine Learning Engineer, or other relevant certifications

Skills:
Artificial Intelligence
Cloud Computing
Data Analysis
English
Natural Language Processing
Python
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: CGI
Location(s): Bengaluru

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[Full Time] Data Science Engineer at Careernet

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Key Skills: MLOps, Data Science, Machine Learning, SQL
Roles and Responsibilities:
Design, develop, and deploy end-to-end data science solutions using RapidMiner Studio, Server, and AI Hub, Knowledge Graph.
Work with customers to understand business problems and convert them into analytical and machine learning use cases.
Build and optimize data pipelines, feature engineering workflows, and predictive models in RapidMiner.
Integrate RapidMiner with customer data sources (databases, cloud platforms, APIs, data lakes, etc.).
Collaborate with data engineers, product teams, and customer success teams to ensure successful implementation.
Provide technical guidance, documentation, and training to customers.
Support pre-sales activities with solution design, demos, and proof-of-concepts.
Skills Required:
3-10 years of experience in Data Science and Machine Learning projects.
Strong hands-on expertise in RapidMiner (Studio, Server, AI Hub, Knowledge Graph).
Experience building and deploying ML models using supervised and unsupervised learning techniques.
Strong SQL skills for data extraction, transformation, and analysis.
Experience implementing MLOps practices for model deployment, monitoring, and lifecycle management.
Proficiency in at least one programming language: Python / Java / R.
Experience working with cloud platforms such as AWS, Azure, or GCP.
Knowledge of data integration, APIs, and large-scale data processing.
Strong understanding of feature engineering, model evaluation, and performance optimization.
Experience interacting directly with customers and translating business requirements into technical solutions.
Good communication, documentation, and presentation skills.
Education: Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Careernet
Location(s): Bengaluru

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[Full Time] Data Scientist at Cisco

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
As a Quality Data Scientist, you will be instrumental in shaping Cisco s quality strategy. You will move beyond isolated data analysis to create holistic, systemic views of the product lifecycle. Your work will involve designing automated data pipelines, developing predictive models, and crafting compelling narratives that influence executive decision-making. By partnering with quality engineers and operations teams, you will implement data-driven solutions that proactively detect issues and enhance overall organizational efficiency.

Minimum Qualifications

Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.

Minimum of 7-10 years of professional experience in data science, analytics, or a related discipline, with demonstrated expertise in statistical analysis and quality management.

Proven track record of applying correlation analysis and advanced statistical techniques in a business context.

Strong problem-solving skills, attention to detail, self-driven, and ability to manage multiple priorities in a fast-paced environment.

Proficiency in programming languages such as Python or R, with familiarity in data science libraries and tools.

Preferred Qualifications

Master s degree in a quantitative field.

Proven experience in crafting data-driven stories and strategic presentations for senior executive leadership.

Hands-on experience with big data platforms and advanced data visualization tools.

Deep understanding of end-to-end quality management processes and the ability to identify and bridge data gaps within operations.

Experience in designing and implementing automated monitoring systems that trigger preventive actions.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Cisco
Location(s): Bengaluru

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Thu, 26 Mar 2026 12:00:00 +0530

Job Description

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:

Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects

Writing programs to cleanse and integrate data in an efficient and reusable manner

Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors

Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.

Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required education

Bachelor's Degree

Required technical and professional expertise

Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.

Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.

Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC

Document solution architectures, design decisions, implementation details, and lessons learned.

Create technical documentation, white papers, and best practice guides

Preferred technical and professional experience

Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.

Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms

Experience and working knowledge in COBOL & JAVA would be preferred

Experience in python and pyspark will be added advantage

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Opening For Python Machine Learning Engineer-Pan India at Infosys

Thu, 26 Mar 2026 12:00:00 +0530

Job Description
Roles and Responsibilities
Design, develop, test, and deploy machine learning models using Python and deep learning frameworks like TensorFlow.
Collaborate with cross-functional teams to integrate ML solutions into existing systems.
Develop scalable data pipelines using SQL and big data technologies to support business intelligence initiatives.
Conduct exploratory data analysis, feature engineering, and model evaluation to drive business insights.
Stay up-to-date with industry trends in AI/ML/DL by attending conferences, workshops, or reading relevant literature.
Desired Candidate Profile
5-10 years of experience in Machine Learning development with expertise in Python programming language.
Experience working on large datasets using SQL for querying databases.
Strong understanding of Deep Learning concepts including neural networks architecture design.
Proficiency in developing predictive models using statistical techniques such as regression analysis.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Senior Data Engineer (AWS) at Coforge

Wed, 25 Mar 2026 12:00:00 +0530

Job Description
We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies, AWS & Scala Mandatory. The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks.

Key Responsibilities:
Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data.
Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway.
Work extensively with streaming platforms like Kafka, Flink, Spark Streaming.
Develop and optimize data ingestion workflows using Apache NiFi, Airflow, Sqoop, Oozie.
Build and maintain data lakes and analytics platforms using AWS Lake Formation.
Hands-on development using Scala with Spark for distributed data processing.
Work with NoSQL databases including DynamoDB, HBase, and Hadoop ecosystem tools like MapReduce, Hive, HDFS.
Collaborate with cross-functional teams to deliver high-performance data solutions.

Technical Skills Required:
Mandatory: Spark, AWS, Hadoop
Big Data Tools: EMR, Glue, Hive, HDFS, HBase, MapReduce
Streaming & Messaging: Kafka, Kinesis, Flink, Spark Streaming
Data Ingestion: Apache NiFi, Airflow, Sqoop, Oozie
Cloud Platforms: AWS (preferred), Hortonworks, Cloudera, MapR
Programming: Scala (with Spark), Python (optional)
Databases: DynamoDB, NoSQL, HBase
Others: AWS Athena, Lake Formation, CloudFormation

Share your resume over Aarushi.Shukla@coforge.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

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[Full Time] Senior Manager, Data Science & Analytics at Pfizer

Wed, 25 Mar 2026 12:00:00 +0530

Job Description
ROLE SUMMARY

Are you passionate about transforming data into actionable insights for marketing and commercial successDo you thrive in a dynamic environment that blends data science, analytics, and commercial strategy for PharmaJoin our team as a Senior Manager, Data Science & Analytics, where you will lead the development and deployment of advanced analytics solutions to support strategic decisions across key commercial and business priorities. You ll leverage cutting-edge technologies including AI, machine learning, Generative AI and cloud-based analytics platforms to drive decisions and optimize outcomes across channels and customer segments. This global role offers the opportunity to collaborate with cross-functional teams, influence strategy, and shape the future of data-driven decision making.

The ideal candidate is an expert in data science with experience working in diverse and cross-functional teams, bridging the gap between data, technology, and people, with experience in advanced analytics and impact assessment using techniques like experimentation (A/B testing), observational analytics, and predictive modeling to deliver the promise of AI/ML to improve patients lives.

ROLE RESPONSIBILITIES

Lead the design, development, and implementation of advanced analytics and data science solutions using statistical and machine learning techniques.

Drive the evolution of analytics processes for data integration, performance measurement, and decision support across commercial and business initiatives.

Oversee experimentation frameworks (A/B testing, test-control design, causal inference approaches) to quantify impact and optimize business decisions.

Serve as the subject matter expert for advanced analytics and data science, providing strategic guidance to senior commercial and business leaders.

Collaborate with cross-functional teams (marketing, finance, IT, data engineering, product teams, agencies as applicable) to align analytics initiatives with business objectives and ensure seamless data integration.

Lead and mentor a team of data scientists and analysts, fostering technical excellence and professional growth.

Develop and maintain reusable analytics assets, custom data pipelines, and dashboards for performance tracking and visualization.

Communicate complex analytical findings to non-technical stakeholders, translating data insights into actionable recommendations.

Stay abreast of industry trends in advanced analytics, AI, Generative AI, and data science, proactively identifying opportunities for innovation.

Lead planning and prioritization of analytics services and change management with cross functional stakeholders.

Define evaluation and monitoring approaches for LLM/agent-assisted analytics (quality, reliability, bias, traceability) and promote responsible AI practices.

Technical skills and competencies :

Strong strategic, conceptual and analytical thinker with the ability to understand analytics needs, leverage learnings from other industries and use sophisticated analytical tools and techniques to build effective solutions.

Applied expertise in statistical modeling, machine learning, experimentation, forecasting, and optimization; ability to select the right technique based on business context and data limitations.

Advanced proficiency in Python, R, SQL, and cloud analytics platforms (e.g., Azure, AWS, GCP).

Applied knowledge of machine learning, deep learning, and statistical modeling across structured and unstructured data.

Working knowledge of Generative AI and Agentic AI concepts (prompting patterns, tool use/function calling, orchestration basics, RAG fundamentals)

BASIC QUALIFICATIONS

9+ years of experience in advanced Analytics / Data Science, with experience delivering solutions for commercial, marketing, or business domains.

2+ years in a leadership role managing analytics teams and cross-functional projects. STEM degree (Statistics, Computer Science, Engineering, Mathematics, Economics) with quantitative emphasis.

Expert proficiency in Python, R, SQL, and modern analytics platforms.

Demonstrated experience in statistical analysis, machine learning, and optimization.

Strong verbaland written communication skills; ability to influence and collaborate across teams.

Applied knowledge of statistical analysis, experience with R, Python, Excel, etc.

Strong background in optimization, mathematical modeling, machine learning, algorithms, and data structures, superior analytical skills required.

Strong verbal and written communication skills.

Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa

PREFERRED QUALIFICATIONS

Industry experience in healthcare / pharma / life sciences, marketing analytics, or commercial analytics.

Consulting experience and proven project management skills.

Experience with Bayesian statistics, cloud computing, and big data technologies.

Exposure to Generative AI solutions (LLMs), including practical experience with retrieval-augmented generation (RAG), evaluation approaches, and responsible AI practices.

Familiarity with agentic patterns such as multi-step workflow orchestration, tool-augmented LLMs, and human-in-the-loop decisioning

Work Location Assignment: Hybrid
Marketing and Market Research
Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Mumbai

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[Full Time] Machine Learning Engineer at Experis

Wed, 25 Mar 2026 12:00:00 +0530

Job Description
Position: Machine Learning Engineer
Company: Wipro
Job Type: Permanent
Notice Period: Immediate Joiner
Experience: 7+ Years
Location: PAN India
Job Summary:We are seeking a Machine Learning Engineer with strong experience in building and deploying ML models across supervised and unsupervised learning techniques. The role involves working on structured and unstructured data, developing scalable solutions, and applying advanced analytics.
Key Responsibilities:
Build and implement supervised and unsupervised machine learning models for classification, regression, and clustering.
Perform exploratory data analysis (EDA), feature engineering, and data preprocessing.
Train, validate, and optimize models using standard evaluation metrics.
Develop deep learning and NLP models for structured and unstructured datasets.
Utilize Python-based frameworks and libraries for model development and deployment.
Primary Skills:
Strong experience in EDA, feature engineering, and data preprocessing
Hands-on experience in supervised and unsupervised learning
Expertise in classification, regression, XGBoost, Random Forest, and clustering techniques
Experience in deep learning and NLP
Proficiency in Python and libraries/tools: PySpark, PyTorch, Scikit-Learn, TensorFlow
Secondary Skills:
Exposure to Generative AI, LLMs, and Agentic AI
Experience with AWS cloud services
Preferred Qualifications:
Bachelors or Masters degree in Computer Science, Data Science, or related field
Strong problem-solving and analytical skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Machine Learning
Employement Type: Full time
Contact Details:
Company: Experis
Location(s): Hyderabad

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[Full Time] DATA Science engineer- Hyderabad at Tech Mahindra

Wed, 25 Mar 2026 12:00:00 +0530

Job Description
Data Engineer- Immediate joiner- Hyderabad.
Please share cvs to sd00838847@techmahindra.com
Key responsibilities:
Communication: To maintain effective & proactive Communication Verbal/Written with stakeholders
Development: Hands on, sleeves up development and delivery expected as a matter of course.
Delivery: Ensure project goals are achieved on time in alignment with the stakeholders expectation. Ability to work on complex projects and in a distributed environment.
Escalate when necessary and in a timely manner.
Work in close collaboration with other team members across different business units & geographies, to ensure Development/Delivery aspects are well represented in the projects requirements and deliverables.
Methodology: Incorporate agile ways of working into the delivery process utilizing tools such as ADO, Jira and Aha! Individuals will work as part of product-centric delivery team(s) that will focus on delivering value independently while fully embracing integrated DevOps approaches.
Ownership: Take ownership for the delivery/development projects and help steer until completion
Governance: Maintain governance that allows projects and stakeholders to manage overall project performance and manage program risks within the global nature of some of the programs.
Forward looking: Remain flexible towards technology approaches to ensure we are taking advantage of new technologies. Keep abreast of industry developments in analytics and be able to interpret how these would impact services and present new opportunities.
Quality, Risk & Compliance: Ensure all risk and issues associated with owned projects are recorded and managed in the appropriate Risk & Issue logs in a timely manner. Ensure all Risks and Issues have clear action/mitigation/contingency plans defined, with named action owners and timelines for completion.
Specifications & Qualification:
Should be a graduate in any stream.
3-5 years of experience in data, data science, data engineering and/or other technology related.
Experience/Knowledge in MS Excel and VBA skills.
Expert with ETL processes and tools such as ADF.
Experience with visualization tools and their application: developing reports, dashboards and KPI scorecards on Power BI. Experience in analyzing data obtained internally or from 3rd party providers.
Knowledge of Microsoft Flow and Power Platforms.
Proficient with programming language SQL (other languages like Python and DAX, would be an advantage)
Familiar to Agile Project Management frameworks (VFQ, SAFe) and tools (Kanban, Scrum, Jira, Azure Dev Ops)
Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the manufacturing organizations.
Ability to develop and maintain productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities against future requirements.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Tech Mahindra
Location(s): Hyderabad

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[Full Time] Senior GenAi / ML Engineer - Remote (Individual Contributor) at Firstsource

Wed, 25 Mar 2026 12:00:00 +0530

Job Description
About Firstsource
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes

AI Systems Engineer (GenAI), IC
Were looking for a handson Individual Contributor who excels at taking real business problems and turning them into productionready GenAI solutions. If you have a strong track record of designing, building, and operating GenAI systems (across both text and images) in production environments, wed love to talk.
What Youll Do
Own problems endtoend: Translate business goals into technical plans; design pragmatic solutions; deliver production systems with measurable impact.
Build production back ends: Design and implement APIs and microservices (REST/gRPC) for GenAI workloads; containerize and orchestrate services (Docker/Kubernetes/ECS/EKS).
Ship on AWS: Leverage AWS (e.g., Lambda, ECS/EKS, S3, DynamoDB/RDS, API Gateway, SQS/SNS, CloudWatch) plus AI services (e.g., Bedrock, SageMaker) to train, host, and integrate models.
Work across modalities: Deliver features for text (LLMs/RAG) and images (VLMs/CV) including retrieval, embeddings, finetuning/adapters, and evaluation pipelines.
Make it observable: Instrument logging, metrics, and traces (OpenTelemetry/CloudWatch/Datadog/etc.); build dashboards, SLOs/SLIs, and alerts; own performance, reliability, and cost.
Validate and govern: Implement offline/online evaluations, A/B tests, guardrails/redteaming, data and model quality checks, and safety/compliance gates.
Automate the path to prod: Establish CI/CD (GitHub Actions/CodePipeline), infrastructure as code (Terraform/CloudFormation), automated tests, and rollouts (canary/bluegreen).
Collaborate without handoffs: Partner with product, domain experts, and downstream teams; document architecture; support launches; close the loop with datadriven iteration.
What Youve Shipped (Signals Well Look For)
At least one year owning a production GenAI or ML system (not a side project), professional experience building backend or MLpowered products.
Services you built that are running in production with users/traffic, clear SLIs/SLOs, and release/incident history.
Evidence of quality: eval frameworks, regression tests, canary strategies, monitoring dashboards, cost/perf optimizations you introduced.
Required Experience
GenAI foundation: LLMs/VLMs, embeddings, RAG, prompt orchestration, adapters/finetuning, tokenization, latency/cost tradeoffs, content safety/guardrails.
Backend & systems: Strong design of microservices, APIs, eventdriven patterns; data modeling across SQL/NoSQL; familiarity with vector databases.
AWS & cloud infra: IAM/KMS/secrets, networking, containers/orchestration, CI/CD, IaC; operating services in AWS with cost/performance ownership.
Observability & reliability: Logging, metrics, traces; performance profiling; incident response; chaos and load testing; availability and scaling strategies.
Languages & tooling: Proficient in Python (plus one of TypeScript/Go/Java); PyTorch/TensorFlow; Docker/Kubernetes; git; testing frameworks.

Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Firstsource
Location(s): Hyderabad

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[Full Time] Engineer - NLP at Evalueserve

Wed, 25 Mar 2026 12:00:00 +0530

Job Description

We are seeking a highly skilled and detail-oriented AI Engineer to join our team

In this role, you will design and implement cutting-edge ML/DL models and leverage NLP techniques for text analytics and conversational AI

You will also develop enterprise-grade generative AI solutions, including RAG optimization, LLM evaluation, and fine-tuning, while ensuring scalability, data quality, and feasibility to deliver robust, high-performance AI applications

Key Responsibilities:

Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models

Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques

Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning

Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time

Required Qualifications

At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field

Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement

About 1-3 years of experience in NLP, ML, and DL

More than one year of experience in generative AI application development at the production level

Demonstrated ability in developing NLP / ML / DL / generative AI project solutions

Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO

In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers

Expert-level programming experience in Python / C++

Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices

Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure

Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights

Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements

Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely

Understanding of the cultural differences and work styles in a global environment

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Evalueserve
Location(s): Noida, Gurugram

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[Full Time] Data Scientist at Capgemini

Wed, 25 Mar 2026 12:00:00 +0530

Job Description
Required Skills & Qualifications
Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field.
Proficiency in Python, R, or SQL.
Strong knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Preferred Qualifications
Experience with cloud platforms (AWS, Azure, GCP).
Knowledge of deep learning and NLP techniques.
Prior experience in deploying models in production environments.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] Sr Data Engineers - AI/ML at Photon

Tue, 24 Mar 2026 12:00:00 +0530

Job Description

Looking for skilled Sr Data Engineers with expertise in AI/ML to join our team in Chennai. The ideal candidate will have a strong background in data engineering and experience working with large datasets.

Roles and Responsibility

Design, develop, and implement data pipelines and architectures to support business intelligence and analytics.

Collaborate with cross-functional teams to identify and prioritize project requirements.

Develop and maintain large-scale data systems, ensuring scalability, reliability, and performance.

Work closely with data scientists and analysts to design and implement machine learning models.

Ensure data quality, integrity, and security by implementing appropriate data validation and testing procedures.

Optimize data storage and retrieval processes to improve query performance and reduce latency.

Job Requirements

Strong understanding of data structures, algorithms, and software design patterns.

Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.

Proficiency in programming languages such as Python, Java, or C++.

Excellent problem-solving skills and the ability to analyze complex problems and develop creative solutions.

Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.

Ability to work in a fast-paced environment, delivering high-quality results on tight deadlines.

Company name: Photon Infotech P Ltd.

Industry: Any industry.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Photon
Location(s): Kolkata

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[Full Time] Senior Data Scientist - AI/ML at Optum

Tue, 24 Mar 2026 12:00:00 +0530

Job Description
Primary Responsibilities:
Design, develop, and deploy ML/AI models for healthcare applications
Analyze complex healthcare data to deliver actionable insights
Collaborate with clinicians, researchers, and IT teams to translate business needs into technical solutions
Optimize existing models for performance and scalability
Integrate generative AI and LLMs for tasks like medical text generation and synthetic data creation
Communicate findings through reports and visualizations
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Qualifications - External
Required Qualifications:
Bachelors degree in CS, Data Science, Statistics, or related field; Masters/PhD preferred
7+ years in data science/ML/AI, ideally in healthcare
Experience in healthcare AI domains: NLP, computer vision, predictive modeling
Knowledge of generative AI nd LLMs (GPT, BERT, Llama)
Familiarity with big data tools, SQL/NoSQL databases
Understanding of healthcare standards (HL7, FHIR) and cloud platforms (AWS/ Azure/ GCP)
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn)
Proficiency in Python, R, Java, or Scala
Proven solid statistical analysis and data visualization skills
Proven excellent problem-solving and communication skills
Proven track record of delivering AI/ML projects
Model Development: Proven ability to design, develop, and deploy ML models and AI systems for healthcare challenges
Data Analysis: Proven ability to interpret complex healthcare datasets to generate actionable insights
Collaboration: Proven ability to work with clinicians, researchers, and IT teams to translate business needs into technical solutions
Algorithm Design: Proven ability to implement advanced algorithms for predictive analytics, patient risk stratification, and medical image analysis
Generative AI & LLMs: Proven ability to develop and integrate generative AI models and large language models for tasks like medical text generation and synthetic data creation
Optimization: Proven ability to enhance existing ML models for scalability and performance
Mentorship: Proven ability to guide junior data scientists and engineers
Compliance: Proven ability to ensure data integrity and adhere to healthcare regulations (e.g., HIPAA)
Communication: Proven ability to present findings through reports, presentations, and visualizations
Preferred Qualifications:
Familiarity with cloud platforms, big data tools, and modern ML frameworks
Solid background in AI/ML technologies, statistical modeling, and healthcare data
Proven ability to stay updated with emerging AI trends and integrate them into projects
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Hyderabad

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[Full Time] Ai Ml Engineer at Tata Consultancy

Mon, 23 Mar 2026 12:00:00 +0530

Job Description
Role & responsibilities
Develop end-to-end scalable, optimized enterprise AI solutions. Engage in prompt engineering and fine-tuning of AI/ML models, including Generative AI (GenAI) and Large Language Models (LLMs), as well as building and managing multi-agent systems. Implement practical hands-on fine-tuning, transfer learning, and optimization of Transformer architecture-based deep learning models. Technical Skills: Proficient in Agentic AI, GenAI, and LLM technologies, with experience in NLP tools such as Word2Vec, NLTK, SpaCy, BERT, GloVe, Autogen, Semantic Kernel, Lang chain, and Langraph. Hands on development experience with development of AI agents. Familiarity with either of cloud platforms like Azure, AWS or Google Cloud Strong programming skills in Python, with experience in frameworks such as Flask for lightweight applications and FastAPI for API development. Proficient in using Docker for container deployment and deploying ML models on Kubernetes clusters. Experience with NoSQL, SQL, and vector databases. Strong understanding of statistical methods and experimental design. Familiarity with MLOps practices for continuous integration and continuous deployment (CI/CD) in machine learning. Experience in prompt fine tuning and performance optimization Experience using Python Memory management tools like Scalene or Filprofiler or similar Experience in any of the Frameworks like Langchain, Langraph etc. Familiarity of having worked on packages such as Python-pptx, pymupdf to read PPTX or pdf documents. This has to be complimented with hands-on experience integrating OpenAI's GPT models with such Python applications.
Preferred candidate profile
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Hyderabad

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[Full Time] Data Science Engineer at CGI

Mon, 23 Mar 2026 12:00:00 +0530

Job Description
Job Title: Data Science
Position: Senior Software Engineer
Experience: 7 - 12 Years
Category: Software Development/ Engineering
Shift: Hybrid - (1PM to 10 PM Shift)
Main location: Hyderabad
Position ID: J1225-1536
Employment Type: Full Time

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.
Position Description: Were looking for a Senior Data Scientist with strong analytical thinking, deep technical expertise, and a proven ability to apply machine learning to solve real-world problems. The candidate should have 4+ years of high-quality proven experience in AI/ML working. Youll work with cross-functional teams to design, develop, and deploy scalable AI/ML solutions, including Generative AI, predictive modeling, and recommendation systems.
#LI-AD11
Your future duties and responsibilities
Design, build, and validate machine learning and deep learning models, ensuring robustness, scalability, and explainability.
Apply strong statistical foundations to analyze large datasets and derive actionable insights.
Lead the development and evaluation of models using modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
Drive the adoption of Generative AI and LLM-based solutions, ensuring model alignment, prompt engineering, and ethical AI practices.
Collaborate with data engineers, product teams, and business stakeholders to transform business problems into technical solutions.
Contribute to code reviews, model documentation, and mentorship of junior data scientists.
Stay abreast of the latest research and translate cutting-edge methods into production.
Statistical and Mathematical Rigor
o Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).
o Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.
Machine Learning & Deep Learning
o Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.
o Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.
Generative AI & LLMs
o Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.
o Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.
Programming & Problem Solving
o Advanced proficiency in Python with the ability to write clean, modular, and testable code.
o Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.
o Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.
Tooling & Deployment
o Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).
o Version control (Git) and collaborative development practices.
Required qualifications to be successful in this role
Required Qualifications
Bachelors or masters degree in computer science, Statistics, Applied Mathematics, or a related field.
Statistical and Mathematical Rigor
o Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).
o Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.
Machine Learning & Deep Learning
o Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.
o Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.
Generative AI & LLMs
o Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.
o Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.
Programming & Problem Solving
o Advanced proficiency in Python with the ability to write clean, modular, and testable code.
o Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.
o Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.
Tooling & Deployment
o Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).
o Version control (Git) and collaborative development practices.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: CGI
Location(s): Hyderabad

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[Full Time] Data Engineer (Data Science / Data extraction) at Luxoft

Mon, 23 Mar 2026 12:00:00 +0530

Job Description
Project description
We''re looking for a Data Engineer with hands on experience in graph databases to design, build, and optimize data pipelines and knowledge graph solutions that power advanced analytics and discovery. You''ll collaborate with data scientists, platform engineers, and product teams to model complex domains, integrate heterogeneous sources, and deliver queryable, scalable graph data products.
Responsibilities
Graph Data Modeling Design
Design and implement property graphs and RDF/OWL-based knowledge graphs.
Develop schemas/ontologies, entity resolution and lineage strategies; define best practices for graph modeling, naming, and versioning.
Data Engineering Integration
Build and maintain ETL/ELT pipelines to ingest, cleanse, transform, and load data into graph stores from APIs, files, RDBMS, event streams.
Implement batch and streaming integrations using tools such as Airflow, dbt, Kafka/Kinesis, Spark/Flink.
Optimize data quality, deduplication, key management, and incremental upserts into graphs.
Querying APIs
Write advanced queries in Cypher, Gremlin, and/or SPARQL; tune queries and indexes for performance.
Expose graph capabilities via APIs/services (REST/GraphQL/GRANDstack) with robust governance, observability and caching.
Performance, Reliability Security
Capacity planning, clustering, backups, and high availability for graph databases.
Monitoring/alerting (e.g., Prometheus/Grafana, CloudWatch), profiling and query plan analysis.
Apply security best practices: encryption, RBAC/ABAC, least privilege, secrets management, and data masking/Pii handling.
MLOps/Analytics Enablement (nice if applicable)
Support downstream analytics and graph algorithms (PageRank, community detection, embeddings) and integrate with ML pipelines.
DevOps SDLC
Infrastructure-as-Code (Terraform, Bicep, CloudFormation), containerization (Docker, Kubernetes), and CI/CD for data/infra.
Documentation, code reviews, and contribution to data governance (catalogs, lineage, metadata).
Skills
Must have
Experience: 6 years in Data Engineering (or similar) with 2+ years focused on graph databases (property graph and/or RDF).
Graph DBs: Hands-on with at least one of:
Property Graph: Neo4j, AWS Neptune (Gremlin/Cypher).
RDF Triple Stores: Ontotext GraphDB, Apache Jena/Fuseki, Blazegraph, Stardog, Neptune (RDF).
Query Languages: Strong in Cypher and/or Gremlin; SPARQL if working with RDF/OWL.
Data Pipelines: Proficient with Airflow (or similar), Kafka/Kinesis, Spark or Flink; building robust ETL/ELT at scale.
Programming: Python (dataframes, APIs, CLI tooling); solid testing practices (pytest/pytest-bdd).
Cloud: Experience with AWS managed graph/datastores, storage, compute, and networking basics.
Performance Ops: Indexing, memory/GC tuning, query plan analysis, partitioning/sharding concepts, HA/DR, backup/restore.
Security Governance: Secrets management, IAM, network isolation, PII compliance; familiarity with data catalog/lineage tools.
Communication: Ability to translate domain knowledge into graph models and explain trade-offs to non technical stakeholders.
Nice to have
Knowledge Graphs Semantics: RDFS, SHACL, ontology engineering, reasoning/inference, vocabulary alignment (SKOS).
Graph Algorithms Embeddings: Neo4j Graph Data Science, NetworkX, PyTorch Geometric, vector DB integration.
Graph + Search: Integration with Elasticsearch/OpenSearch, hybrid search (BM25 + embeddings).
Data Modeling: Experience migrating from relational to graph; CDC patterns (Debezium), event-driven architectures.
Observability: OpenTelemetry, tracing for data services; data quality frameworks (Great Expectations).
Delivery: Experience with productizing graph APIs, caching layers, SLA/SLO management.
Regulatory: Familiarity with GDPR/CCPA, data retention, sovereignty considerations.
Job Classification
Industry: Legal
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Luxoft
Location(s): Hyderabad

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Fri, 20 Mar 2026 12:00:00 +0530

Job Description

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:

Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects

Writing programs to cleanse and integrate data in an efficient and reusable manner

Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors

Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.

Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required education

Bachelor's Degree

Required technical and professional expertise

Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.

Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.

Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC

Document solution architectures, design decisions, implementation details, and lessons learned.

Create technical documentation, white papers, and best practice guides

Preferred technical and professional experience

Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.

Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms

Experience and working knowledge in COBOL & JAVA would be preferred

Experience in python and pyspark will be added advantage

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Hyderabad

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[Part Time] AI Data Scientist - GIG / Freelance at Wipro

Fri, 20 Mar 2026 12:00:00 +0530

Job Description
Job Title: AI Data Scientist GIG / Freelance (LLMs, Generative AI)

Job Highlights
Contract Type: GIG / Freelance
Weekly Commitment: 40 hours (Weekdays 8 hours/day)
Work Mode: Remote
Compensation: USD 50 - 70 per hour (Based on assessment, client interview & prior project experience)

Note : Education must from IIT Background only can eligible.

Job Summary:

This is a GIG (Freelance) opportunity, not a full-time permanent role.
A GIG role refers to a short-term, project-based engagement where professionals work as independent contractors or freelancers, offering flexibility, autonomy, and the ability to work on high-impact global projects.
We are seeking a highly skilled IIT graduate with a minimum of 5 years of professional experience in Artificial Intelligence (AI), Machine Learning (ML), and Data Engineering. The ideal candidate will have a strong foundation in NLP, Large Language Models (LLMs), and generative AI, with proven expertise in designing intelligent data systems, building scalable pipelines, and contributing to AI research and development initiatives.
Key Responsibilities:
Design, develop, and optimize AI/ML models for data analysis, pattern recognition, and NLP applications.
Build and maintain robust data pipelines for structured and unstructured data using Spark, Docker, and cloud technologies.
Integrate and fine-tune LLMs (e.g., GPT-based models) for summarization, recommendation, and personalization systems.
Develop and annotate prompt-response datasets to enhance model performance and reliability.
Engineer simulated datasets using GANs and other generative techniques for training and validation.
Create and manage knowledge graphs and entity extraction frameworks for data mapping and semantic understanding.
Collaborate with cross-functional teams to translate AI research into production-ready solutions.
Stay updated with emerging trends in AI, ML, and data science to drive innovation and continuous improvement.
Qualifications:
Bachelors or Masters degree in Computer Science, Data Science, or a related field from IIT.
Minimum 5 years of experience in AI/ML research, data engineering, or related domains.
Strong proficiency in Python, TensorFlow/PyTorch, Spark, and Docker.
Hands-on experience with NLP, LLMs, and generative AI models.
Solid understanding of data structures, algorithms, and scalable system design.
Excellent analytical, problem-solving, and communication skills.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Part time
Contact Details:
Company: Wipro
Location(s): Hyderabad

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[Full Time] AI / ML Engineer at Accenture

Fri, 20 Mar 2026 12:00:00 +0530

Job Description
About The Role
Project Role :AI / ML EngineerProject Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.Must have skills :Large Language Models
Good to have skills :NAMinimum 5 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, utilizing generative AI models, and ensuring the integration of deep learning, neural networks, chatbots, and image processing technologies into your projects. You will collaborate with various teams to enhance the functionality and performance of AI-driven applications, contributing to innovative solutions that meet the needs of the organization and its clients.
Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills:
- Must To Have Skills:
Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Director - Data Science at Axtria

Fri, 20 Mar 2026 12:00:00 +0530

Job Description
Job Summary:
The Director Data Science will lead the organizations data strategy, analytics initiatives, and advanced modeling efforts. This role is responsible for building and managing high-performing data science teams, driving data-driven decision-making, and delivering impactful insights that support business growth and innovation.
Key Responsibilities:
Define and execute the organizations data science vision, strategy, and roadmap
Lead, mentor, and scale a team of data scientists, analysts, and ML engineers
Drive development and deployment of predictive models, machine learning algorithms, and AI solutions
Collaborate with business stakeholders to identify opportunities for leveraging data to solve complex problems
Oversee data collection, data quality, and governance practices
Translate business problems into analytical frameworks and actionable insights
Ensure best practices in model development, validation, deployment, and monitoring
Work closely with engineering teams to build scalable data infrastructure
Present insights and recommendations to senior leadership and stakeholders
Stay updated with industry trends, emerging technologies, and tools in data science
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: Axtria
Location(s): Noida, Gurugram

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[Full Time] Senior Manager Data Science - Python, Sql, Cloud, Databricks at Optum

Fri, 20 Mar 2026 12:00:00 +0530

Job Description
Shift time: 11:00 AM - 8:30 PM IST (with flexibility to connect with Onshore Stakeholders once or twice a week)
Reporting to the Vice President, the leader owns the strategy and execution of value measurement for the Data Platform and serves as the primary point of accountability for how platform performance and value are quantified and communicated to senior leadership
This leader defines and manages the platform''s KPI and measurement framework so that cost, performance, adoption, and business impact are transparently understood and used to guide investment decisions
As the owner of the platform''s value and insights portfolio, the leader will establish and maintain dashboards and reporting for cost, performance, latency, utilization, and adoption; designs and applies value and ROI frameworks; and leads analyses that quantify the impact of product and modernization choices
The leader partners closely with Product, Engineering, Architecture, Finance, and the Program & Partner Enablement leader to ensure that metrics are aligned to business objectives and that insights are translated into action
This is a people leader role that combines product analytics, knowledge of cloud-based data management and analytics platforms, effective use of advanced analytics and AI tools, financial acumen, and talent leadership
The leader will lead and develop a team of data professionals, prioritizes work against strategic objectives, and sets standards for data quality, governance, and storytelling in all platform reporting. The leader represents Value & Insights in portfolio and cross-platform forums, clearly communicating trends, trade-offs, and recommendations to senior stakeholders
Primary Responsibilities:
Own the value and measurement strategy for the Experience Data Platform, including KPI definitions, scorecards, and reporting standards
Design, build, and maintain dashboards that provide executive-ready visibility into cost, performance, latency, utilization, and adoption
Develop and apply value, ROI, and cost-transparency frameworks to evaluate platform capabilities and modernization investments
Conduct complex analyses to identify trends, risks, and opportunities; synthesize findings into clear recommendations for senior leaders
Partner with Product, Engineering, Architecture, Finance, and the Program & Partner Enablement leader to ensure metrics and insights are aligned to business goals and are embedded in decision-making
Establish and enforce standards for data quality, lineage, and governance across all Value & Insights artifacts
Oversee the selection and effective use of cloud-based data and BI tools used for platform measurement and reporting
Lead, coach, and develop a high-performing team of data professionals; set priorities, provide feedback, and support career growth
Represent Value & Insights in portfolio planning, quarterly business reviews, and cross-functional forums, clearly articulating trade-offs and platform performance
Identify and implement opportunities to automate reporting, improve measurement methodology, and enhance the overall analytics toolset
Identify and implement opportunities to use advanced analytics and AI tools to enhance forecasting, anomaly detection, and insight generation for platform stakeholders
Perform other duties as assigned
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
BE or B.Tech, or an MBA from a premier institute, with relevant coursework or certifications in advanced analytics
15+ years of leadership experience in data analysis, supported by deep expertise in:
12+ years of experience in Python, leading cloud platforms (Azure/AWS/GCP), Databricks, SQL and the O365 ecosystem
10+ years of hands-on expertise with Power BI and Snowflake, driving advanced analytics, reporting, and data platform optimization
Proven experience leading initiatives within Product and/or Marketing domains, with the ability to translate business needs into datadriven strategies and insights
Proficiency with United AI Studio or an equivalent AI platform
Demonstrated leadership in driving AI and machine learning strategy, adoption, and innovation
Proven adept at shaping data strategy and driving highimpact, insightled decisionmaking for senior stakeholders
Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Noida, Gurugram

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[Full Time] AI / ML Engineer at Accenture

Fri, 20 Mar 2026 12:00:00 +0530

Job Description
Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Natural Language Processing (NLP)

Good to have skills :NA
Minimum 5 year(s) of experience is required

Educational Qualification :15 years full time education Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring high-quality application pipelines, and integrating generative AI models into various projects. You will also explore advanced techniques such as deep learning, neural networks, and image processing, contributing to innovative solutions that enhance user experiences and operational efficiency.Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to foster their professional growth.
- Continuously evaluate and improve existing processes and workflows.Professional & Technical Skills:Must To Have Skills:
Proficiency in Natural Language Processing (NLP).
- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Familiarity with data preprocessing and feature engineering techniques.
- Ability to implement and optimize algorithms for natural language understanding.Additional Information:
- The candidate should have minimum 5 years of experience in Natural Language Processing (NLP).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
Qualification15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Data Science Manager at Tredence

Fri, 20 Mar 2026 12:00:00 +0530

Job Description
Role Overview
We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts in developing data-driven products, insights, and solutions. The ideal candidate will have a strong background in applied machine learning, data strategy, and stakeholder management, with proven experience in translating business challenges into scalable analytical solutions.
Key Responsibilities
Leadership & Strategy
Lead, mentor, and grow a high-performing data science team.
Define and execute the data science roadmap aligned with business goals.
Collaborate cross-functionally with Product, Engineering, and Business units to prioritize projects and deliver measurable impact.
Technical Execution
Oversee the design and deployment of predictive models, recommendation systems, and advanced analytics solutions.
Drive the adoption of best practices in model development, feature engineering, validation, and monitoring.
Ensure data quality, reproducibility, and governance across all analytics initiatives.
Business Impact
Translate complex analytical findings into clear business insights and recommendations.
Partner with leadership to define KPIs and measure the success of data-driven initiatives.
Evangelize a data-first culture within the organization.
People Management
Hire, coach, and retain top talent in data science and analytics.
Conduct performance reviews and set clear goals for team members.
Foster continuous learning, innovation, and collaboration.
Required Qualifications

814 years of overall experience, with at least 35 years leading data science or analytics teams.
Strong understanding of machine learning, statistics, and data modeling.
Hands-on experience with Python, R, SQL, and modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Proven ability to manage projects end-to-end from problem definition to model deployment.
Experience working with large-scale datasets and cloud platforms (AWS, GCP, or Azure).
Excellent communication and stakeholder management skills.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Tredence
Location(s): Pune

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[Full Time] Engineer Lead, Artificial Intelligence / Machine Learning at FIS

Thu, 19 Mar 2026 12:00:00 +0530

Job Description
Engineer Lead, Artificial Intelligence / Machine Learning ( Data Scientist)
About the team
The Client OFfice AI/ML CoE team is a horizontal CoE for Client Office that is helping us drive revenue and bring significant savings to our businesses by identifying, exploring, and implementing AI/ML solutions.
The Client Office is one of the three verticals in FIS. It has various products and solutions in funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk electronic trading, RegTech, wealth and retirement etc.
The team consists of highly motivated solution architects, data scientists and ML engineers.
What you will be doing
As a Data Scientist, you will be working on developing cutting-edge Gen AI and Agentic solutions across the organization.
What you bring:
Knowledge / Experience
10+ years of overall experience with 4+ years on AI/Gen AI/Agentic AI
Strong experience in statistical analysis, experimentation, and datadriven problem solving
Designing and developing endtoend ML models from data exploration to production deployment
Handson experience building:
Predictive models
Classification and regression models
Clustering & segmentation
Timeseries forecasting
Optimization models
Expertise in feature engineering, data preprocessing, and handling large, messy, realworld datasets
Experience with ML lifecycle: model training, validation, evaluation, monitoring, and retraining
Ability to work with big data ecosystems (Spark, Hadoop, Databricks, EMR, or similar)
Experience operationalizing ML using REST APIs, batch jobs, or cloud AI/ML services
Understanding of MLOps concepts (CI/CD for ML, model versioning, model drift, monitoring)
Experience working in cloud environments (AWS, GCP, Azure)
Skills
Strong proficiency in Python, including scientific and ML libraries:
pandas
NumPy
scikitlearn
TensorFlow / PyTorch
Statsmodels
Strong understanding of statistics, probability, hypothesis testing, and experiment design (A/B tests)
Handson experience with SQL and working with relational & NoSQL databases
Ability to translate ambiguous business problems into clear analytical solutions
Strong data visualization skills using:
Matplotlib / Seaborn
Plotly
Power BI / Tableau (optional)
Experience building reusable analytical pipelines and automation frameworks
Understanding of feature stores, data pipelines, and production ML patterns
Ability to communicate insights clearly to business and technical team.
Nice to Have
Experience with LLMbased analytics, embeddings, or GenAI for data workflows
Familiarity with AutoML platforms (H2O, DataRobot, SageMaker Autopilot, Vertex AI, etc.)
Exposure to Graph ML, NLP, or Computer Vision
Knowledge of Reinforcement Learning or causal inference
Strong domain knowledge in BFSI, risk modeling, fraud detection, or customer analytics (if applicable)
Qualifications
Bachelors degree in engineering or related field or the equivalent combination of education, training, or work experience
Competencies
Fluent in English
Excellent communicator ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.
Attention to detail track record of authoring high quality documentation.
Organized approach manage and adapt priorities according to client and internal requirements.
Self-starter but team mindset - work autonomously and as part of a global team
What we offer you
A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
A broad range of professional education and personal development possibilities FIS is your final career step!
A competitive salary and benefits
A variety of career development tools, resources and opportunities
Job Classification
Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: FIS
Location(s): Pune

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[Full Time] Data Engineer (Data Science / Data extraction) at Luxoft

Thu, 19 Mar 2026 12:00:00 +0530

Job Description
Project Description:
We're looking for a Data Engineer with hands on experience in graph databases to design, build, and optimize data pipelines and knowledge graph solutions that power advanced analytics and discovery. You'll collaborate with data scientists, platform engineers, and product teams to model complex domains, integrate heterogeneous sources, and deliver queryable, scalable graph data products.

Responsibilities:
Graph Data Modeling & Design
o Design and implement property graphs and RDF/OWL-based knowledge graphs.
o Develop schemas/ontologies, entity resolution and lineage strategies; define best practices for graph modeling, naming, and versioning.
Data Engineering & Integration
o Build and maintain ETL/ELT pipelines to ingest, cleanse, transform, and load data into graph stores from APIs, files, RDBMS, event streams.
o Implement batch and streaming integrations using tools such as Airflow, dbt, Kafka/Kinesis, Spark/Flink.
o Optimize data quality, deduplication, key management, and incremental upserts into graphs.
Querying & APIs
o Write advanced queries in Cypher, Gremlin, and/or SPARQL; tune queries and indexes for performance.
o Expose graph capabilities via APIs/services (REST/GraphQL/GRANDstack) with robust governance, observability and caching.
Performance, Reliability & Security
o Capacity planning, clustering, backups, and high availability for graph databases.
o Monitoring/alerting (e.g., Prometheus/Grafana, CloudWatch), profiling and query plan analysis.
o Apply security best practices: encryption, RBAC/ABAC, least privilege, secrets management, and data masking/Pii handling.
MLOps/Analytics Enablement (nice if applicable)
o Support downstream analytics and graph algorithms (PageRank, community detection, embeddings) and integrate with ML pipelines.
DevOps & SDLC
o Infrastructure-as-Code (Terraform, Bicep, CloudFormation), containerization (Docker, Kubernetes), and CI/CD for data/infra.
o Documentation, code reviews, and contribution to data governance (catalogs, lineage, metadata).

Mandatory Skills Description:
Experience: 6 years in Data Engineering (or similar) with 2+ years focused on graph databases (property graph and/or RDF).
Graph DBs: Hands-on with at least one of:
o Property Graph: Neo4j, AWS Neptune (Gremlin/Cypher).
o RDF Triple Stores: Ontotext GraphDB, Apache Jena/Fuseki, Blazegraph, Stardog, Neptune (RDF).
Query Languages: Strong in Cypher and/or Gremlin; SPARQL if working with RDF/OWL.
Data Pipelines: Proficient with Airflow (or similar), Kafka/Kinesis, Spark or Flink; building robust ETL/ELT at scale.
Programming: Python (dataframes, APIs, CLI tooling); solid testing practices (pytest/pytest-bdd).
Cloud: Experience with AWS managed graph/datastores, storage, compute, and networking basics.
Performance & Ops: Indexing, memory/GC tuning, query plan analysis, partitioning/sharding concepts, HA/DR, backup/restore.
Security & Governance: Secrets management, IAM, network isolation, PII compliance; familiarity with data catalog/lineage tools.
Communication: Ability to translate domain knowledge into graph models and explain trade-offs to non technical stakeholders.

Nice-to-Have Skills Description:
Knowledge Graphs & Semantics: RDFS, SHACL, ontology engineering, reasoning/inference, vocabulary alignment (SKOS).
Graph Algorithms & Embeddings: Neo4j Graph Data Science, NetworkX, PyTorch Geometric, vector DB integration.
Graph + Search: Integration with Elasticsearch/OpenSearch, hybrid search (BM25 + embeddings).
Data Modeling: Experience migrating from relational to graph; CDC patterns (Debezium), event-driven architectures.
Observability: OpenTelemetry, tracing for data services; data quality frameworks (Great Expectations).
Delivery: Experience with productizing graph APIs, caching layers, SLA/SLO management.
Regulatory: Familiarity with GDPR/CCPA, data retention, sovereignty considerations.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Luxoft
Location(s): Hyderabad

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[Full Time] Senior Engineer, Machine Learning Engineering at Mastercard

Thu, 19 Mar 2026 12:00:00 +0530

Job Description
Our Purpose

Title and Summary

Senior Engineer, Machine Learning Engineering-1

Mastercards Business Market Insights (BMI) group empowers organizations to achieve growth innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, BMI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage. We are currently looking for a Lead Engineer, Machine Learning Engineeringfor Operational Intelligence Program, within BMI group. This role will lead ML engineering team to execute on AI/ML strategy for the program that enables business growth, enhances customer experience, and ensures delivery of secure, scalable, and high-performing software solutions. As a technology leader, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team. Roles and Responsibilities:

Implement multi-agent intelligence frameworks (LangGraph, CrewAI, AutoGen) to enable reasoning, coordination, and adaptive decision-making across specialized AI agents

Design and operationalize multi-modal AI pipelines combining text, image, tabular, and graph data using transformer-based architectures (BERT, CLIP, LLaVA, T5, Whisper, etc) for unified intelligence

Build scalable RAG and Graph-RAG systems integrating vector stores and knowledge graphs (Neo4j, AWS Neptune) to enable contextual retrieval, semantic linking, and entity-aware reasoning

Develop and productionize transformer-based models for NLP, vision-language understanding, and sequential prediction tasks leveraging Hugging Face, PyTorch, and TensorFlow ecosystems

Implement advanced Python-based backend services for inference orchestration, async job handling, and distributed data workflows supporting high-throughput AI operations

Establish end-to-end LLMOps and MLOps pipelines on Databricks (AWS) integrating MLflow, feature stores, model lineage, prompt evaluation, and continuous retraining frameworks

Apply traditional AI/ML and statistical modeling techniques (regression, clustering, forecasting, ensemble methods) alongside deep learning models for hybrid interpretability and explainability

Engineer state and memory management subsystems that preserve context, track embeddings, and enable agents to reason temporally across multiple modalities and interactions

Implement Responsible AI practicesbias detection, explainability dashboards, data ethics checks, and performance governance ensuring fairness and transparency of deployed models

Continuously research, benchmark, and productionize innovations in multimodal transformers, generative modeling, and agentic orchestration to drive enterprise-scale intelligence and automation

All About You:

Masters/bachelors degree in computer science or engineering, and a considerable work experience with a proven track-record of successfully leading and managing complex projects/products and delivering to aggressive market needs

Expert-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions

Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems

Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks

Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar

Strong programming skills in languages such as Python/SQL is a must

Experience with data visualization tools (eg, Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus

Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Mastercard
Location(s): Pune

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[Full Time] AI Agent / LLM Engineer at Infobeans

Wed, 18 Mar 2026 12:00:00 +0530

Job Description
5+ Years of experience in Python development, 2-3 years of experience in AI/ML scripting and model writing.
Strong Python development for building scalable AI solutions.
Design agent-based architectures with multi-step reasoning workflows.
Work with LangChain and LangGraph to orchestrate LLM pipelines.
Implement observability and traceability to track requests end-to-end.
Debug and optimize agent workflows and model interactions.
Design testing and evaluation frameworks for LLM outputs.
Validate outputs against ground truth and structured checks.
Enable automated regression testing to ensure consistent model performance.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Infobeans
Location(s): Indore

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[Full Time] Consultant - Business Consulting (Data Science/Data Engineering) at Infosys

Tue, 17 Mar 2026 12:00:00 +0530

Job Description
Educational Requirements
Bachelor of Engineering,Bachelor Of Technology
Service Line
Infosys Consulting
Responsibilities
Key Responsibilities (Common Across Roles)1. Design and develop data pipelines, ETL processes, and analytical solutions.2. Collaborate with cross-functional teams to understand business requirements and deliver scalable solutions.3. Ensure compliance, security, and performance in data solutions.4. Communicate effectively with stakeholders and present technical solutions clearly.5. Work in Agile environments and contribute to CI/CD practices.Role-Specific Responsibilities - Data Scientist1. Build and deploy machine learning models and AI solutions.2. Perform statistical analysis, hypothesis testing, and data exploration.3. Work on NLP, computer vision, and deep learning use cases.4. Utilize frameworks like TensorFlow, PyTorch, Scikit-Learn, BERT.Role-Specific Responsibilities - Azure Data Engineer1. Develop data pipelines using Python, PySpark, Pandas on Azure.2. Work with Azure Data Factory, Databricks, Synapse, Data Lake, Azure SQL/DWH.3. Implement DevOps practices, CI/CD pipelines, and manage code with Git.Role-Specific Responsibilities - AWS Data Engineer1. Build data pipelines using Python, PySpark, Pandas on AWS.2. Work with AWS Lambda, Glue, Athena, Redshift, Kinesis, EMR, S3.3. Experience with Airflow DAGs, Snowflake/Redshift, and test frameworks like Pytest.
Additional Responsibilities:
Locations Offered: Bengaluru, Hyderabad, Chennai, Noida, Gurgaon, Chandigarh, Pune, Nagpur, Mumbai, Trivandrum, Mysuru, Coimbatore, Indore, Kolkata, Bhubaneswar
Technical and Professional Requirements:
Eligibility & RequirementsCommon Requirements1. Strong programming skills in Python (Java/R for some roles).2. Expertise in SQL and relational databases (Oracle, PostgreSQL, SQL Server).3. Bachelors/Masters degree in Computer Science, IT, Statistics, or related field.4. Excellent communication and problem-solving skills.Eligibility & Requirements - Data Scientist1. 518 years of experience in Data Science.2. Strong knowledge of ML algorithms (Regression, Random Forest, SVM, Neural Networks).3. Exposure to Deep Learning, NLP, and Computer Vision.Eligibility & Requirements - Azure Data Engineer1. 518 years of experience in Data Engineering.2. Hands-on with Azure ecosystem (ADF, Databricks, Synapse, Data Lake).Eligibility & Requirements - AWS Data Engineer1. 518 years of experience in Data Engineering.2. Hands-on with AWS ecosystem (Glue, Lambda, Redshift, Kinesis, EMR).
Preferred Skills:
Technology->Machine learning->data science
Technology->Machine Learning->Python
Technology->Cloud Platform->Azure Analytics Services->Azure Data Factory
Technology->Data Engineering->Databricks
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Bengaluru

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[Full Time] Data Scientist - NLP at Siemens

Sat, 14 Mar 2026 12:00:00 +0530

Job Description
Data Scientist - NLP Focussed
Are you a passionate Data Scientist with a knack for turning complex data into actionable insights, especially when it comes to natural language processing and semantic understanding? Do you thrive on solving challenging business problems using cutting-edge machine learning and AI technologies, particularly in the realm of building data and ontologies? If so, we want to hear from you!

At Siemens Infrastructure Buildings Software, we're at the forefront of creating sustainable pioneering autonomous building technologies. We're looking for a talented and enthusiastic Data Scientist to join our dynamic team and play a pivotal role in the semantic enrichment of building data points, working closely with our ontology experts.
In this exciting role, you'll have the opportunity to work on diverse projects, from developing advanced NLP models for unstructured building data to building end-to-end machine learning solutions on cloud platforms. If you're eager to make a tangible impact by bringing structure and meaning to complex data and grow your expertise in a collaborative environment, this is the place for you!

What You'll Do (Your Responsibilities):
As a Data Scientist, you will be instrumental in:
Strategic Collaboration: Partnering with stakeholders to deeply understand business objectives and translate them into robust data science strategies.
Model Development: Designing, developing, and implementing advanced machine learning and statistical models to tackle complex business challenges.
NLP for Semantic Enrichment:Applying Natural Language Processing (NLP) techniques to extract, classify, and semantically enrich unstructured building data points, working closely with ontology experts.
Data Preparation & Exploration: Conducting in-depth exploratory data analysis, meticulous data cleansing, and insightful feature engineering to prepare datasets for analysis, including text-based data.
Insight Generation: Exploring and utilizing various data mining and machine learning techniques to extract valuable insights and discover hidden patterns from large datasets.
Predictive & Prescriptive Solutions: Developing powerful predictive and prescriptive models, algorithms, and prototypes to directly support business decision-making.
IoT/IIoT Expertise: Applying your working knowledge of handling IoT and IIoT data, including traditional use cases like anomaly detection for multi-sensor systems.
Forecasting Mastery: Leveraging your hands-on experience in forecasting using both traditional machine learning methods and advanced Deep Neural Networks.
Statistical Rigor: Performing thorough statistical analysis, hypothesis testing, and A/B testing to rigorously evaluate the effectiveness of models and algorithms.
Cloud-Based ML Systems: Gaining hands-on experience in developing end-to-end machine learning systems on leading cloud-based platforms like AWS or Azure.
Effective Communication: Clearly communicating findings and insights to both technical and non-technical stakeholders through compelling reports, presentations, and data visualizations.
Deployment & MLOps: Understanding and applying CI/CD processes in product deployment, ensuring seamless delivery of solutions.
Technical Proficiency: Demonstrating an understanding of Dockerization and REST APIs for scalable and efficient deployments.
Continuous Learning: Staying abreast of the latest trends and advancements in data science, machine learning, AI, and NLP technologies, identifying opportunities to apply them to improve business outcomes.
Software Development: Engaging in hands-on software development, primarily with Python.

What You'll Bring (Your Qualifications):

We're looking for someone who can hit the ground running and grow with us!
Experience: 5+ years of experience in data science and/or data analysis with a proven track record of successfully developing and deploying ML models and algorithms.
NLP Expertise: Demonstrated experience with Natural Language Processing (NLP) techniques, including text classification, entity recognition, topic modeling, and semantic search.
Education: A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, Computational Linguistics, or a closely related quantitative field. (B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with a good academic record will also be considered.)
Programming Prowess: Strong hands-on programming skills in Python are essential, with experience in relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face, Gensim).
Domain Knowledge: Exposure to the industrial engineering domain, building management systems, or experience working with structured/unstructured data in a complex domain is highly preferred. Experience with ontologies or knowledge graphs is a significant plus.
Tool Proficiency: Proficient in the use of various data science tools and libraries.
Analytical Acumen: Excellent analytical and statistical skills to derive meaningful insights.
Collaboration & Proactivity: A collaborative, team-oriented attitude with a proactive mindset and a strong willingness to learn new technologies.
Communication Skills: Excellent verbal, written, and presentation skills to articulate complex ideas clearly.

Why You'll Love Working Here:

Impactful Work: Contribute to projects that make a real difference in how buildings are managed and understood, driving efficiency and sustainability.
Growth Opportunities: Continuous learning and development in a fast-paced, innovative environment, especially in the intersection of AI, NLP, and IoT.
Collaborative Culture: Work alongside a diverse team of talented professionals, including data scientists and ontology experts, who are passionate about data science.
Cutting-Edge Technology: Access to the latest tools and technologies in AI, machine learning, and NLP.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Siemens
Location(s): Pune

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[Full Time] Generative AI Professional at Infogain

Sat, 14 Mar 2026 11:58:08 +0530

Job Description
Infogain is seeking a motivated and innovative individual with a specialization in Generative AI. You will assist in enhancing the analytics backend of our flagship products and contribute to advancing our knowledge discovery solutions. This role is perfect for someone who enjoys learning, creative problem-solving, and working in a dynamic environment.
Technical Skills- Required:
7-10 years of experience in the Analytics/Data Science/Software Development domain.
Proficiency in programming languages such as Python.
Experience with Generative AI techniques and tools.
Experience with semantic graph concepts and Knowledge Graph
Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.
Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services.
Proven experience designing and implementing AI/ML solutions in production environments.
Strong knowledge of agentic application architectures, tools, and frameworks.
Experience delivering AI-driven automation, workflow optimization or intelligent product enhancements.
Technical Skills Desirable:
Expertise in NLP and Generative AI concepts/methods/techniques like
Prompt design/engineering
Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT-4o
Fine-tuning through LORA/QLORA
Multi-agentic frameworks for RAG
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Noida, Gurugram

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[Full Time] Generative AI Professional at Infogain

Fri, 13 Mar 2026 15:19:18 +0530

Job Description
Infogain is seeking a motivated and innovative individual with a specialization in Generative AI. You will assist in enhancing the analytics backend of our flagship products and contribute to advancing our knowledge discovery solutions. This role is perfect for someone who enjoys learning, creative problem-solving, and working in a dynamic environment.
Technical Skills- Required:
7-10 years of experience in the Analytics/Data Science/Software Development domain.
Proficiency in programming languages such as Python.
Experience with Generative AI techniques and tools.
Experience with semantic graph concepts and Knowledge Graph
Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.
Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services.
Proven experience designing and implementing AI/ML solutions in production environments.
Strong knowledge of agentic application architectures, tools, and frameworks.
Experience delivering AI-driven automation, workflow optimization or intelligent product enhancements.
Technical Skills Desirable:
Expertise in NLP and Generative AI concepts/methods/techniques like
Prompt design/engineering
Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT-4o
Fine-tuning through LORA/QLORA
Multi-agentic frameworks for RAG
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Kochi

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[Full Time] Machine Learning Engineer at Infosys

Fri, 13 Mar 2026 12:00:00 +0530

Job Description
Educational RequirementsBachelor of Engineering

Service Line Topaz COE unit

Responsibilities
A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Technical and Professional Requirements: Primary skills:Technology->Artificial Intelligence->Computer Vision,Technology->Big Data->Natural language processing(NLP),Technology->Machine Learning->Python

Preferred Skills: Technology->Machine Learning->Generative AI
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Data Engineer (AWS) at Coforge

Fri, 13 Mar 2026 01:19:28 +0530

Job Description
We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies, AWS & Scala Mandatory. The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks.

Key Responsibilities:
Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data.
Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway.
Work extensively with streaming platforms like Kafka, Flink, Spark Streaming.
Develop and optimize data ingestion workflows using Apache NiFi, Airflow, Sqoop, Oozie.
Build and maintain data lakes and analytics platforms using AWS Lake Formation.
Hands-on development using Scala with Spark for distributed data processing.
Work with NoSQL databases including DynamoDB, HBase, and Hadoop ecosystem tools like MapReduce, Hive, HDFS.
Collaborate with cross-functional teams to deliver high-performance data solutions.

Technical Skills Required:
Mandatory: Spark, AWS, Hadoop
Big Data Tools: EMR, Glue, Hive, HDFS, HBase, MapReduce
Streaming & Messaging: Kafka, Kinesis, Flink, Spark Streaming
Data Ingestion: Apache NiFi, Airflow, Sqoop, Oozie
Cloud Platforms: AWS (preferred), Hortonworks, Cloudera, MapR
Programming: Scala (with Spark), Python (optional)
Databases: DynamoDB, NoSQL, HBase
Others: AWS Athena, Lake Formation, CloudFormation

Share your resume over Aarushi.Shukla@coforge.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

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[Full Time] Manager, Analytics & Data Science at Pfizer

Thu, 12 Mar 2026 21:51:55 +0530

Job Description
Role Summary

Pfizer is seeking an experienced analytics and data science professional with strong technical, organizational, and interpersonal skills to deliver solution oriented insights and strategic contributions to an innovative and evolving analytics organization within the Legal Division.

The Manager, Analytics & Data Science will play a key role in delivering risk and compliance insights as part of the Legal Division s analytics capability. This role will partner closely with cross functional stakeholders to develop data driven analyses that identify and quantify compliance risk, performance, and effectiveness. This role will be supported and mentored by a team of seasoned analytics and data science experts, providing strong opportunities for professional growth and development.

The Manager is responsible for hands on technical development, execution of analytics and data science initiatives, and translating complex results into clear, actionable insights for business partners. Reporting to the Global Ethics & Risk Management Analytics Lead, this role contributes directly to advancing analytics enabled transformation and insight delivery across the Division.

Role Responsibilities

Deliver end to end solutions supporting risk management and compliance objectives, leveraging capabilities in data management, ETL, visualizations, statistical analysis, and ML/advanced analytics

Build, maintain, and enhance analytics solutions, including workflows, dashboards, models, and other advanced analytics processes

Conduct hypothesis-driven and ad hoc analyses across multiple data sources, structured and unstructured

Partner with cross-functional teams to understand business needs, align deliverables, and support data-driven decision making

Translate complex results into clear, actionable insights for both technical and non-technical stakeholders

Lead QC strategy to mitigate data quality issues, automate detection of QC issues, and drive process improvements that enhance overall data quality

Develop and maintain documentation of projects and processes to support reproducibility and knowledge sharing

Basic Qualifications

Bachelor s degree required. A degree in a quantitative field such as statistics, mathematics, engineering, or computer science is preferred.

5-7 years of experience in analytics or data science, preferable within complex or regulated environments; candidates with fewer years of experience may be considered with demonstrated expertise or proven achievements

Strong understanding of data analytics methodologies, visualization techniques, and insight delivery

Working knowledge of statistics and machine learning concepts

Strong experience with ETL and automation tools is required, Alteryx, Dataiku preferred

Strong experience with at least one viz tool, Tableau preferred

Strong experience with SQL and at least one programming language (e. g. , Python, R)

Strong organizational and project management skills, with the ability to manage time and prioritize effectively

Strong learning agility with strategic, analytical, and critical thinking skills

Ability to communicate complex analytical concepts, methods, and results into simple, actionable insights for non-technical stakeholders.

Excellent written and verbal communication and presentation skills

Preferred Qualifications

Advanced Degree

Experience in the pharmaceutical industry

Experience in compliance, risk mitigation, or audit related function

Experience with generative artificial intelligence (AI) and applications in analytics/data science

Work Location Assignment: Hybrid

Information & Business Tech
Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Delhi, NCR

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[Full Time] Senior Data Scientist - Python, MLOPs, Snowfalke at Citiustech

Thu, 12 Mar 2026 12:00:00 +0530

Job Description
Technical lead - Data Scientist
Key skills: Python, Machine Learning, Data science, SQL, Pandas, ML Frameworks, Snowflake, ETL/ELT
Location: Chennai
Notice: Immediate to 30 days
Model: Hybrid (monthly 8 days in office)
Share your resumes to p.sivasribalaji@citiustech.com

A Data Scientist specializing in Python and Structured Data Machine Learning focuses on analyzing structured datasets and developing predictive models using Python-based ML frameworks.
A Data Scientist in this domain is responsible for extracting insights from structured data, building machine learning models, and optimizing data-driven decision-making.
Key Responsibilities
- Develop ML models for structured data analysis.
- Implement data preprocessing pipelines using Python (Pandas, NumPy).
- Optimize feature engineering for structured datasets.
- Work with SQL databases and data warehouses (Snowflake, BigQuery).
- Train and evaluate models using Scikit-learn, TensorFlow, or PyTorch.
- Deploy ML models using MLOps frameworks (MLflow, Kubeflow).
- Collaborate with data engineers and analysts to ensure data quality.
- Perform hyperparameter tuning and model optimization.
- Ensure data security, governance, and compliance.
Required Skills - Python programming for ML and data manipulation.
- SQL proficiency for structured data querying.
- Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
- Knowledge of ETL processes for structured data.
- Understanding of data warehousing concepts.
- Familiarity with cloud platforms (AWS, Azure, GCP). Preferred Qualifications
- Experience with data visualization tools (Tableau, Power BI).
- Knowledge of data governance frameworks (GDPR, HIPAA).
- Familiarity with automated ML workflows. cloud-based data solutions, leveraging Snowflake for data warehousing and Python for scripting, automation, and data processing.
A Snowflake and Python Developer is responsible for designing, developing, and optimizing data solutions using Snowflakes cloud data platform and Python-based ETL processes.
Key Responsibilities
- Develop ETL/ELT pipelines using Python and Snowflake.
- Design and implement data models and schemas in Snowflake.
- Write and optimize SQL queries for data transformation and reporting.
- Integrate data from various sources into Snowflake.
- Implement Snowflake Tasks and Streams for real-time data processing.
- Ensure data security, governance, and compliance.
- Collaborate with data engineers and analysts to build scalable solutions.
- Perform performance tuning and query optimization in Snowflake.
- Automate workflows using Python scripts. Required Skills
- Strong SQL proficiency for Snowflake.
- Python programming for data manipulation and automation.
- Experience with ETL tools (e.g., Apache NiFi, Talend, Fivetran).
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Understanding of data warehousing concepts.
- Familiarity with Snowflake features like Snowpipe, Streams, and Tasks. Preferred Qualifications
- Experience with data visualization tools (Tableau, Power BI).
- Knowledge of data governance frameworks (GDPR, HIPAA).
- Familiarity with machine learning workflows in Snowflake.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Citiustech
Location(s): Chennai

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[Full Time] Data Engineer at Accenture

Wed, 11 Mar 2026 16:57:58 +0530

Job Description

Project Role :Data EngineerProject Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills :Databricks Unified Data Analytics PlatformGood to have skills :AWS BigData
Minimum 7.5 year(s) of experience is requiredEducational Qualification :15 years full time educationSummary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and provide innovative solutions to enhance data accessibility and usability. Roles Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Mentor junior team members to enhance their skills and knowledge in data engineering.
Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional Technical Skills:
Must To Have Skills:
Proficiency in Databricks Unified Data Analytics Platform.
Good To Have Skills:Experience with AWS BigData.
Strong understanding of data modeling and database design principles.
Experience with data integration tools and ETL processes.
Familiarity with cloud computing platforms and services. Additional Information:
The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
This position is based at our Chennai office.
A 15 years full time education is required.Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Chennai

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[Full Time] Gen Ai & Ai/ml & Mlops Engineer at Capgemini

Wed, 11 Mar 2026 14:44:46 +0530

Job Description
GenAI:

Experience with AI and Machine Learning algorithms.
Familiarity with AI platforms and understanding of their capabilities and limitations.
Experience with Natural Language Processing (NLP).
Understanding of RAG, neural networks, and other AI/ML concepts.
Ability to design and implement AI models.
Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

MLOps Engineer:

Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment
Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools
Develop and maintain CI/CD pipelines for ML workflows
Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe)
Optimize ML infrastructure for performance, scalability, and cost-efficiency
AL/ML :
Good programming skills in Python
Must possess experience or interest in training and deploying machine learning models end to end
Good understanding of basic statistics and deep learning techniques
Prior experience in data integration, profiling, validation, an cleansing
Proficiency with SQL
Strong understanding of agile methodologies
Strong understanding of test-driven development
Comfortable using version control and enterprise task management tools .
Building data pipelines and architecture
Should have extensive experience with relational and NO-SQL databases
Should have proficiency in handling both structured and unstructured data sources
Exposure to distributed data processing platforms like Spark .
Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Bengaluru

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[Full Time] Gen AI-Engineer at Iris Software

Wed, 11 Mar 2026 14:15:47 +0530

Job Description
1. Generative AI Design & Development
2 Contribute to the design and implementation of GenAI-powered applications.
3 Translate functional requirements into efficient Python services.
4. Work with LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents).
5. Participate in PoCs and exploratory work for new GenAI capabilities.
6. Python & Cloud
7. Build and enhance RAG pipelines using embeddings, vector databases, and chunking strategies.
8. Implement basic Agentic workflows under guidance from senior team members.
9. Work with vector search systems (PGVector, FAISS, etc.).
10. Implement indexing, metadata tagging, and retrieval optimizations.
11 Exposure to MCP / tool-integration frameworks is an added advantage.
12 Collaboration
13 Participate in code reviews, design discussions, and documentation.
14 Follow best practices in coding standards, testing and DevOps
Required Skills:
Strong hands-on proficiency in Python (Flask, REST, async programming).
Practical experience with Generative AI and LLM-based applications.
Good understanding of RAG system, embeddings, vector databases.
Exposure to Agentic frameworks (LangChain 1.0, LangGraph, ReAct, OpenAI Assistants, or custom agents).
Familiarity with AWS Cloud (ECS, S3, API Gateway, IAM, Bedrock).
Experience with API development, microservices, containerization etc.
Knowledge of CI/CD pipelines, Docker, GitLab/GitHub Actions.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Iris Software
Location(s): Noida, Gurugram

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[Full Time] Immediate Hiring For GEN AI Engineer at Winfort

Wed, 11 Mar 2026 12:46:06 +0530

Job Description
Roles and Responsibilities
Design, develop, and deploy NLP models using GEN AI, LLM, RAG, Python, and other relevant technologies.
Collaborate with cross-functional teams to integrate NLP solutions into existing systems.
Develop machine learning algorithms for text classification, sentiment analysis, entity resolution, etc.
Conduct data preprocessing and feature engineering tasks to prepare datasets for model training.
Troubleshoot issues related to NLP model performance and provide recommendations for improvement.
Job Classification
Industry: Recruitment / Staffing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Winfort
Location(s): Pune

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Wed, 11 Mar 2026 12:39:23 +0530

Job Description

Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data incorporating machine learning. techniques in your projects

Writing programs to cleanse and integrate data in an efficient and reusable manner

Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours

Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.

Evaluating modelling results and communicating the results to technical and non-technical audiences

Required education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise

Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.

Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.

Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC

Document solution architectures, design decisions, implementation details, and lessons learned.

Create technical documentation, white papers, and best practice guides

Preferred technical and professional experience

Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.

Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms

Experience and working knowledge in COBOL JAVA would be preferred

Experience in python and pyspark will be added advantage

Years of Experience:
6-8
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] IND Data Scientist III at Walmart

Wed, 11 Mar 2026 12:05:55 +0530

Job Description
Position Summary... What youll do...
About Team:

Sams Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivalled by traditional retail. Sams Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sams Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centres, tire and battery centres, and a portfolio of business operations support services.

You will work in a team of talented data scientists to build robust, distributed and scalable applications solving interesting Supply Chain problems.

What youll do:

As a Data scientist, you ll have the opportunity to

Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.

Play a key role to solve complex problems, pivotal to Sam s Club business and drive actionable insights from terabytes of data.

Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Sam s Club.

Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.

Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.

Develop PoC, present lucidly to the business and evolve the solutions.

Take forward the solutions into Pipelines/APIs as needed by the business.

Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.

Adopt Wal-Mart s quality standards and develop and recommend process standards and best practices across the retail industry.

Stay up to date with and extending the state-of-the-art in Machine Learning research.

Integrate data science solutions into current business processes.

Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.

What youll bring:

Bachelors/ Masters with 4+ years of relevant experience in Computer Science/Mathematics/Statistics or any other relevant field.

Strong desire to drive change, and ability to adapt to change quickly.

Strong hands on development skills to prototype technical solutions.

Strong oral and written communication skills.

Good problem-solving attitude and analytical skills.

Good Python development experience with big data.

Experience in analysing complex problems and translating them to data science. algorithms with due attention to computational efficiency and testing at scale.

Expertise in machine learning, supervised and unsupervised along with Time Series.

Basic knowledge on Optimization.

Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.

Experience with SQL, relational databases and data warehouse.

Experience in ML Ops (GCP desired).

Experience with multiple stakeholder management, data based story-telling and multiple project handling at the same time.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That s what we do at Walmart Global Tech. We re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

We re back to office

Walmart s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is and feels included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years experience in an analytics or related field. Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location... 4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Walmart
Location(s): Bengaluru

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[Full Time] Join our Inperson Walkin Drive on 14th March'26 @ Agilisium- Chennai at Agilisium

Wed, 11 Mar 2026 12:00:00 +0530

Job Description
Join our AWS Data Engineer Walkin drive on 14th March'26 @ Chennai Location
Years of Exp : 4-10 Years
Primary Skillset: AWS,Python,SQL,Pyspark, Data-bricks and Data Modelling - Knowledge.
Walkin Drive : 14th Feb'26

Time :10.30 AM-3.00PM
Venue Address: Agilisium Consulting,World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096
Registration Link:
https://agilisium.zohorecruit.com/jobs/Careers/589705000034628366/Empty?source=CareerSite
Job Description:
Proven experience as a Data Engineer (typically 4-10 years, depending on level).
Strong hands-on experience with Python for data engineering tasks.
Proficiency in SQL (writing complex queries, performance tuning).
Strong expertise in PySpark and Databricks.
Hands-on experience working in AWS cloud environment (S3, Glue, EMR, Redshift, Lambda, etc.).
Experience with data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).
Solid understanding of data modelling, warehousing, and ETL/ELT concepts.
Knowledge of version control systems (Git) and CI/CD practices.
Excellent problem-solving and communication skills
About Agilisium Agilisium is the Life Sciences industrys premier Autonomous Agentic AI and Applied AI Services Company. We reimagine, develop, and co-develop AI-engineered business processes that are autonomous, scalable, and purpose-built for Life Sciences. Over the past decade, weve established deep credibility across global pharma and biotech organizations through our specialized expertise and consistent growth:
Everest Group Recognized as a Leader in Life Sciences Digital Services for the Mid-Market
Inc. 5000 Featured among the fastest-growing companies in the U.S. for 9 consecutive years
AWS Advanced Consulting Partner one of the Top 13 companies globally to hold both GenAI and Life Sciences Competency Badges
Trusted by Fortune 500 Pharma Partnering with several Top 10 global Life Sciences companies
Agilisium continues to invest in top-tier talent to fuel innovation, scalability, and impact across the Life Sciences value chain.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Agilisium
Location(s): Chennai

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[Full Time] Big Data Engineer (AWS) at Coforge

Wed, 11 Mar 2026 12:00:00 +0530

Job Description
We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies, AWS & Scala Mandatory. The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks.

Key Responsibilities:
Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data.
Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway.
Work extensively with streaming platforms like Kafka, Flink, Spark Streaming.
Develop and optimize data ingestion workflows using Apache NiFi, Airflow, Sqoop, Oozie.
Build and maintain data lakes and analytics platforms using AWS Lake Formation.
Hands-on development using Scala with Spark for distributed data processing.
Work with NoSQL databases including DynamoDB, HBase, and Hadoop ecosystem tools like MapReduce, Hive, HDFS.
Collaborate with cross-functional teams to deliver high-performance data solutions.

Technical Skills Required:
Mandatory: Spark, Scala, AWS, Hadoop
Big Data Tools: EMR, Glue, Hive, HDFS, HBase, MapReduce
Streaming & Messaging: Kafka, Kinesis, Flink, Spark Streaming
Data Ingestion: Apache NiFi, Airflow, Sqoop, Oozie
Cloud Platforms: AWS (preferred), Hortonworks, Cloudera, MapR
Programming: Scala (with Spark), Python (optional)
Databases: DynamoDB, NoSQL, HBase
Others: AWS Athena, Lake Formation, CloudFormation

Share your resume over Aarushi.Shukla@coforge.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Hyderabad

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[Full Time] Research Scientist at Tredence

Wed, 11 Mar 2026 11:30:47 +0530

Job Description
Role & responsibilities
We are seeking a talented and hands-on Research Scientist with 2 to 7 years of experience to contribute to the development of advanced data science solutions, including machine learning, NLP, and generative AI applications. The ideal candidate will have a solid foundation in data structures, algorithms, and statistics, with strong coding skills in Python and a proven ability to handle structured and unstructured data.
As a Research Scientist at Tredence, you will be responsible for taking ownership of end-to-end systems from problem statement to solution delivery and will work closely with teams to optimize and implement innovative algorithms in real-world business settings.
Key Responsibilities
Handle structured and unstructured data, including data loading, validation, and cleaning
Apply and optimize algorithms in a professional/business environment
Build scalable data science solutions using machine learning, NLP, or Gen AI techniques
Write efficient and high-quality code in Python
Take ownership of projects from conceptualization to delivery
Measure and enhance algorithm quality and performance
Collaborate with cross-functional teams to implement and deploy models
Stay updated with the latest trends and research in AI, ML, and data science
Mandatory Skills
Strong programming skills in Python
Excellent understanding of data structures and algorithms
Prior experience with handling various types of data (structured/unstructured)
Solid background in Mathematics and Statistics
Thorough knowledge of at least one of the following areas:
Machine Learning algorithms
Natural Language Processing techniques
Generative AI (Gen AI)
Proven ability to apply advanced algorithms in real-world business contexts
Accountability for the performance and optimization of algorithmic solutions

Preferred candidate profile

Preferred Skills
Experience with deep learning frameworks such as TensorFlow, Theano, or Torch
Exposure to cloud platforms (AWS, Azure, or GCP) is a strong advantage
Education & Experience
BE/BTech/MS/PhD degree in Computer Science or a related quantitative field
2 to 7 years of relevant experience working in a team for building applications in Predictive Analytics and Data Science

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Tredence
Location(s): Bengaluru

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[Full Time] AI / ML Engineer at Accenture

Wed, 11 Mar 2026 11:22:59 +0530

Job Description

About The Role

Project Role :AI / ML Engineer
Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Large Language Models

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are effectively integrated and aligned with business objectives. Roles & Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Expected to provide solutions to problems that apply across multiple teams.
Mentor junior professionals to enhance their skills and knowledge.
Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills:
Must To Have Skills:
Proficiency in Large Language Models.
Strong understanding of cloud computing and AI service integration.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with natural language processing techniques and tools.
Ability to design and implement scalable AI solutions. Additional Information:
The candidate should have minimum 5 years of experience in Large Language Models.
This position is based at our Bengaluru office.
A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Data Scientist-Artificial Intelligence at IBM

Wed, 11 Mar 2026 11:16:32 +0530

Job Description

Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases

Experience using LLMs in software applications, including prompting, calling, and processing outputs

Experience with AI frameworks such as LangChain

Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure

Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.

Required education
Bachelor's Degree

Required technical and professional expertise

Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.

Experience and working knowledge in COBOL & JAVA would be preferred

Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .

Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.

Demonstrate a growth mindset to understand clients' business processes and challenges

Preferred technical and professional experience

Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.

Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions

Ability to communicate results to technical and non-technical audiences

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Gen Ai / Aiml / Mlops Engineer at Capgemini

Wed, 11 Mar 2026 07:43:20 +0530

Job Description
GenAI

Experience with Gen AI and Machine Learning algorithms.
Experience with Natural Language Processing (NLP).
Familiarity with AI platforms and understanding of their capabilities and limitations.
Ability to design & implement AI models.
Understanding of RAG, neural networks, and other AI/ML concepts.
Ability to design and implement AI models.
Experience with AI/ML frameworks like TensorFlow, PyTorch, etc

AI/ML
Good programming skills in Python
Must possess experience or interest in training and deploying machine learning models end to end
Good understanding of basic statistics and deep learning techniques
Prior experience in data integration, profiling, validation, and cleansing
Proficiency with SQL
Strong understanding of agile methodologies

MLOps

Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment
Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools
Develop and maintain CI/CD pipelines for ML workflows
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] Data Science Research Senior Manager at Accenture

Wed, 11 Mar 2026 07:41:23 +0530

Job Description
Job Description
This role is in Accenture Research Global Data Science Team.We are looking for an experienced data scientist with business knowledge and research mindset and a passion for data-driven insight discovery.
We offer a career aligned to our priority of creating innovation and impact, managing complex data driven research projects, with multinational and multidisciplinary teams.
We provide opportunities for coaching, supervision and mentoring, as well as responsibilities to manage dedicated research budgets and relationships with external partners.
Key Responsibilities include:
Design, lead and deliver high impact data science/econometric projects focusing on business impact Drive innovation on research projects collaborating closely with research leads, economists, survey experts as well as business stakeholdersDesign and execute groundbreaking and differentiated data science assets Foster the adoption of data science research tools and outputs within Accenture Act as a Subject Matter Expert recognized inside and outside AccentureCoach and mentor more junior data scientistsWhat we offer:We have access to 100+ business data sources through our research data lake. We are constantly expanding our universe of data from commercial and open sources and partnering with premium data providers to improve quality of inputs into our models. We provide several unique training opportunities to continue your growth, including both internal trainings, on the job, personal exploration time to work on novel methodologies without the constraints of a projects and with leading universities.
Experience and skills:
oRecognized SME (incl. Python, Google Cloud, SQL, NLP, text analytics, data-wrangling, machine learning)oExposure to Generative AI algorithms would be a plusoSignificant track record in leading complex research projects using econometric modeling and data science. oStrong interest in Technology and Business researchoUnderstanding of business dynamics and how to incorporate them into data science modelsoStrong analytical skills and a proven ability to make sense out of data oStrategic problem solver with the ability to take an issue and turn it into a researchable questionoAbility to address complexity in team management as well as project managemento
Strong professional qualities:
client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlinesoExcellent communication (written and oral) and interpersonal skillsoSolid experience in the presentation of research deliverables to high level executiveso
Excellent leadership and management skills
oEnthusiasm to work effectively in a global, multi-cultural team oExperience in developing and coaching junior data scientists.
Education:
Bachelors plus full-time Masters degree in Economics, Statistics, Data Science, Engineering or similar. PhD is a plus.
Work Experience: 14+ years of relevant economic research and data science experience "
Qualification
TBD
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Gen Ai & Ai/ml & Mlops Engineer at Capgemini

Wed, 11 Mar 2026 04:56:14 +0530

Job Description
AL/ML
Good programming skills in Python
Must possess experience or interest in training and deploying machine learning models end to end
Good understanding of basic statistics and deep learning techniques
Prior experience in data integration, profiling, validation, and cleansing
Proficiency with SQL
Strong understanding of agile methodologies
Strong understanding of test-driven development
Comfortable using version control and enterprise task management tools .
Building data pipelines and architecture
Should have extensive experience with relational and NO-SQL databases
Should have proficiency in handling both structured and unstructured data sources
Exposure to distributed data processing platforms like Spark .
GenAI:
Experience with AI and Machine Learning algorithms.
Familiarity with AI platforms and understanding of their capabilities and limitations.
Experience with Natural Language Processing (NLP).
Understanding of RAG, neural networks, and other AI/ML concepts.
Ability to design and implement AI models.
Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
resent complex concepts to non-technical stakeholders.
MLOps Engineer :
Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment
Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools
Develop and maintain CI/CD pipelines for ML workflows
Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe)
Optimize ML infrastructure for performance, scalability, and cost-efficiency

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] Gen AI / AIML Engineer at Capgemini

Wed, 11 Mar 2026 04:51:54 +0530

Job Description
Gen AI :

Experience with Gen AI and Machine Learning algorithms.
Experience with Natural Language Processing (NLP).
Familiarity with AI platforms and understanding of their capabilities and limitations.
Ability to design & implement AI models.
Understanding of RAG, neural networks, and other AI/ML concepts.
Ability to design and implement AI models.
Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

AIML

Experience in developing and implementing machine learning, Deep Learning, NLP models across various domains.
Strong proficiency in Python, including relevant libraries and frameworks for machine learning,
Proven experience in enhancing model accuracy through engineering techniques,such as feature engineering, feature selection, and data augmentation.
Strong expertise in deploying machine learning models to production system
Understanding of RAG, neural networks, and other AI/ML concepts.
Ability to design and implement AI models.
Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Bengaluru

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[Full Time] Data Science Manager at Tredence

Wed, 11 Mar 2026 04:26:40 +0530

Job Description
Role & responsibilities
Design, develop, and deploy Generative AI and LLM-based applications using frameworks such as LangChain, LangGraph, and RAG techniques.
Write efficient and scalable Python code for data processing, model training, and inference pipelines.
Implement custom LLM workflows, prompt engineering, and fine-tuning strategies for domain-specific use cases.
Integrate vector databases (e.g., FAISS, Pinecone, ChromaDB, Weaviate) for retrieval and semantic search solutions.
Collaborate with data engineers to build and maintain data pipelines, ensuring data quality and integrity.
Perform data analysis, feature engineering, and statistical modeling to extract insights and improve model performance.
Work with cloud environments (AWS, Azure, GCP) to deploy and scale AI solutions.
Stay current with the latest trends in GenAI, LLMs, and AI frameworks, and apply them to business problems.

Preferred candidate profile

812 years of total experience in Data Science, Machine Learning, or AI development.
Strong proficiency in Python and popular data science libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).
Hands-on experience with Generative AI frameworks such as LangChain, LangGraph, LLM APIs (OpenAI, Anthropic, etc.), and RAG architectures.
Expertise in prompt engineering, vector search, and document retrieval techniques.
Experience deploying and managing LLM-based solutions in production environments.
Knowledge of MLOps, model evaluation, and experiment tracking tools (e.g., MLflow, DVC, Weights & Biases).
Familiarity with cloud-based AI services (AWS Sagemaker, Azure OpenAI, GCP Vertex AI).
Excellent problem-solving, communication, and collaboration skills.

Preferred / Nice-to-Have

Experience with Graph-based reasoning and workflow orchestration tools (LangGraph, LlamaIndex, etc.).
Background in Natural Language Processing (NLP) and transformer-based models.
Exposure to API integration, microservices, and containerization (Docker, Kubernetes).
Prior experience mentoring junior data scientists or leading AI projects.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Tredence
Location(s): Pune

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[Full Time] AI Engineer at SP Software

Wed, 11 Mar 2026 03:14:57 +0530

Job Description
Preferred candidate profile

Build and deploy GenAI/LLM-powered applications.
Develop APIs using FastAPI, design microservices-based AI systems, implement RAG pipelines, integrate Vector Databases, and deploy scalable AI workloads using Kubernetes.
Work on production-grade AI services.

Role & responsibilities

Advanced proficiency in Python.
Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques
Experience with big data processing using Spark for large-scale data analytics.
Version control and experiment tracking using Git and MLflow
Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.
DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.
LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.
MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.
Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.
LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.
General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.
Experience in creating LLD for the provided architecture.
Experience working in microservices based architecture.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: SP Software
Location(s): Bengaluru

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[Full Time] MLOps Engineer at Capgemini

Wed, 11 Mar 2026 02:46:50 +0530

Job Description
MLOps

Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment.
Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools.
Develop and maintain CI/CD pipelines for ML workflows
Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe)
Optimize ML infrastructure for performance, scalability, and cost-efficiency
Strong programming skills in Python with experience in ML frameworks; understanding of ML-specific testing and validation techniques
Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques
Proficiency in cloud platform (AWS, Azure,)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Bengaluru

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[Full Time] Opening For Senior Generative Ai Engineer / Lead Genai at Infogain

Tue, 10 Mar 2026 13:22:25 +0530

Job Description
Greeting from Infogain!

Infogain is seeking a highly motivated and innovative professional specializing in Generative AI. The selected candidate will help enhance our analytics backend and contribute to advanced knowledge discovery and AI-driven solutions. This role is ideal for professionals who enjoy solving complex problems and building production-grade AI systems.

Key Responsibilities
Design, develop, and deploy Generative AI and LLM-based solutions.
Build and optimize RAG pipelines and knowledge-based AI systems.
Develop applications using LangChain, LlamaIndex, and agentic frameworks.
Implement AI/ML models in production environments.
Create and manage knowledge bases, semantic graphs, and context engineering.
Integrate AI solutions with cloud platforms (AWS/Azure/GCP).
Work closely with business and technical stakeholders.
Ensure scalability, reliability, and performance of AI pipelines.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Noida, Gurugram

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[Contract] Ai Ml Engineer at Trigent Software

Tue, 10 Mar 2026 12:00:00 +0530

Job Description
Greetings from Trigent Software!!

We are looking for an AI/ML Engineer with strong foundations in machine learning, Python-based frameworks, and practical experience building LLM or GenAI applications. The role involves developing ML models for segmentation, ranking, and NBA, implementing prompt pipelines, assisting in agent tool usage, and supporting model deployment on SageMaker. The engineer will work with Elasticsearch for retrieval and grounding, contribute to feature engineering, model evaluation, and help refine agent behaviors in real-world workflows. Ideal candidates have hands on exposure to TensorFlow/PyTorch, generative AI techniques, and a good understanding of cloud based AI deployment.
Technology Stack:
Cloud Infrastructure
Amazon Bedrock Hosts and orchestrates LLMs, agent workflows, tool-calling, and generative AI capabilities.
Amazon SageMaker Trains, fine tunes, deploys, and monitors ML models used by agentic systems.
AI & Analytics
Python ML Frameworks (TensorFlow, PyTorch) Used to build, train, and experiment with predictive, ranking, and embedding models.
Generative AI Powers agent reasoning, content creation, scenario simulation, and autonomous task execution.
Data Science Pipelines (ML logic) Provides model training, scoring, feature engineering, and NBA/segmentation algorithms for agent decisions.
Data Layer
Elasticsearch Enables fast retrieval and context grounding (RAG) for agent responses using embeddings and indexed data.
Big Data Platforms (AI/ML portion only) Source of training data and features consumed by ML models.

For More Details Contact HR Sujath Ali @7680048497 {call or WhatsApp} or email your resume to sujath_a@trigent.com
Job Classification
Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Contract
Contact Details:
Company: Trigent Software
Location(s): Mumbai

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[Full Time] Hiring For Part Time-data Science Trainer-5 Days Working- Wfh at Synergistic Compusoft

Tue, 10 Mar 2026 12:00:00 +0530

Job Description
Job Title: Data Science Trainer AI/ML, Generative AI

Location: Remote (PERMANENT WORK FROM HOME)

Experience: 6-7 Years onwards

We are looking for a Data Science Trainer Part Time with strong expertise in AI, Machine Learning, NLP, MLOps, Large Language Models (LLMs), and Generative AI to train and mentor candidates through practical, hands-on sessions.

Key Responsibilities:
Conduct training sessions on Data Science, AI/ML, NLP, LLMs, and Generative AI
Provide hands-on training using Python and ML frameworks
Guide students on projects, assignments, and real-world use cases
Track candidate progress and resolve technical queries
Update training material based on latest AI trends and tools
Required Skills:

Strong knowledge of Python, Machine Learning, NLP
Experience with TensorFlow, PyTorch
Understanding of MLOps, LLMs, Hugging Face, LangChain
Excellent communication and training skills
Preferred: Prior experience in training or mentoring Data Science/AI candidates

Compensation : Best in the market

Timing : 2.5 to 3 hour session in night, as it will be for US Candidates

Company Website :www.synergisticit.com

Working Days : Mon to Fri with Sat & SUN FIXED WEEK OFF.

Company's LinkedIn profile- https://www.linkedin.com/redir/redirect?url=https%3A%2F%2Fsynergisticit%2Ecom%2F&urlhash=rKyX&trk=about_website
Interested candidates , kindly apply with the updated resume at akanksha@synergisticit.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: Synergistic Compusoft
Location(s): Ghaziabad

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[Full Time] Group Manager- Data Science at IBM

Tue, 10 Mar 2026 07:24:15 +0530

Job Description
Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment.
Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.)
Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama.
Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications.
Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development.
Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact.
Maintain reproducibility and version control using Git, GitHub
Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders
Required education
Bachelor''s Degree
Preferred education
Master''s Degree
Required technical and professional expertise
10 12 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment.
2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama).
Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar.
Strong programming skills in Python and experience with ML/DL libraries
Experience deploying models via REST APIs or web applications.
Proficient in SQL for data extraction, transformation, and analysis.
Experience working with large datasets, feature engineering, and data preprocessing pipelines.
Solid understanding of model evaluation, cross-validation, and performance metrics.
Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations.
Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud).
Strong interpersonal and client communication skills.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Sr Analyst II Data Engineering at DXC Technology

Tue, 10 Mar 2026 05:53:30 +0530

Job Description
Essential Job Functions: Participate in data engineering tasks, including data processing and transformation. Assist in the development and maintenance of data pipelines and infrastructure. Collaborate with team members to support data collection and integration. Contribute to data quality and security efforts. Analyze data using data engineering tools and techniques. Collaborate with data engineers and analysts on data-related projects. Pursue opportunities to enhance data engineering skills and knowledge. Stay updated on data engineering trends and best practices. Basic Qualifications: Bachelors degree in a relevant field or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role Proven experience in data engineering Proficiencies in data engineering tools and technologies A continuous learner that stays abreast with industry knowledge and technology Other Qualifications (a plus): Advanced degree in a relevant field a plus Relevant certifications, such as Certified Data Analyst or SAS Certified Big Data Professional a plus

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: DXC Technology
Location(s): Hyderabad

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[Full Time] Data Scientist - PhD at ION

Tue, 10 Mar 2026 01:31:56 +0530

Job Description
Role & responsibilities
We are seeking a motivated and curious Data Scientist to join our dynamic analytics team. As a starter at ION, you will work closely with senior data scientists and business stakeholders to extract insights from complex financial datasets and support the development of predictive models that enhance our products and services.

Preferred candidate profile
Assist in collecting, cleaning, and preprocessing large volumes of structured and unstructured data.
Support exploratory data analysis to identify trends, patterns, and anomalies.
Help build and validate predictive models using machine learning algorithms.
Collaborate with cross-functional teams including software engineers, business analysts, and domain experts.
Contribute to creating data visualizations and reports to communicate findings clearly to technical and non-technical audiences.
Stay up to date with the latest data science techniques and tools relevant to financial services.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: ION
Location(s): Noida, Gurugram

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[Full Time] Lead Data Scientist : Generative Ai, Llm, Ml, Nlp at Gebbs Healthcare

Mon, 09 Mar 2026 12:00:00 +0530

Job Description

Job Title: Lead Data Scientist
Location: Airoli , Navi Mumbai, Maharashtra, India
Work from office

Job Description:
We are seeking a highly skilled Lead Data Scientist with expertise in Generative AI (GenAI), Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP). The ideal candidate will have a minimum of 4 years of experience in data science and a proven track record of leading projects from conception to deployment. Key member of advance analytics to create & assist in development of insights products for our corporate clients and In-house Product.
Key Responsibilities
Team Management
Lead the design, development, and implementation of advanced ML models and algorithms.
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
Mentor and guide junior data scientists in best practices and methodologies.
Stay updated with the latest advancements in GenAI, LLM, and NLP technologies.
Create ML models and advance algorithms to identify and flag risky transactions & card members
Work on new innovative Generative AI based solutions to enhance user experience of our digital products and increase productivity of the team
Gain expertise on data understanding and tables to maximize their usage in insight products
Deploy models in enterprise tools and monitor their performance over time
Work with product, UX and tech team to deliver product in an agile framework
Conceptualize, develop and prototype new insights products/ product/feature enhancements for travel optimization

Qualifications:
4+ years of experience in data science or a related field.
Proficiency in programming languages such as Python, R Programming, Machine Learning, Deep Learning, Generative AI, LLM, Prompt Engineering Azure, AWS SQL, MongoDB
Strong understanding of machine learning frameworks
Experience with NLP techniques and tools.
Excellent problem-solving skills and ability to work in a fast-paced environment.

If you are passionate about leveraging data to drive business insights and have the required skills, we encourage you to apply on lateral.recruitment@gebbs.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Gebbs Healthcare
Location(s): Mumbai

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[Full Time] Artificial Intelligence Engineer/Data Scientist at Tech Mahindra

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
Location: Hyderabad, Bangalore, Chennai, Pune, Mumbai, Noida

Notice Period: Immediate to 30 days max

Experience: 4-10 Years

JD
Mandate Skills: ML, Python, NLP, Deep Learning, Time series forecasting.
Advanced in Python: Proven experience with core libraries like pandas, numpy, scikit-learn, and matplotlib, plus advanced tools like statsmodels, xgboost, lightgbm, prophet, deep learning-based forecasting (e.g. Neural forecast).
Advanced Forecasting Techniques: Experience with ensemble models, hierarchical forecasting, probabilistic forecasting, and multivariate time series.
Pricing Models: Background in price elasticity modeling, good to have experience in optimization - at least one of the 2 resources
Model Evaluation: Familiarity with time-series cross-validation, backtesting, and metrics such as MAE, MAPE, RMSE, SMAPE, and prediction intervals.
SQL Proficiency: Ability to query and manage data from relational databases.
Version Control: Comfortable working with Git/GitHub for collaboration and code management.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Tech Mahindra
Location(s): Hyderabad

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[Full Time] Gen AI - Data Scientist at Cognizant

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
Role: GEN AI

Skills - Gen AI, NLP, RAG Architect, Python, SQL, AWS, Azure, Azure Cognitive Services, Data Scientist

Notie Period: Immediate - 90 Days

Location: Hyderabad, Chennai, Pune, Noida, Kolkata, Bangalore

About the Role:

The ideal candidate should have a solid background in backend development, AI/ML orchestration, and data management, with hands-on experience in Generative AI and Agentic AI frameworks. They will be responsible for building REST APIs, managing data pipelines, and implementing AI/ML solutions such as retrieval-augmented generation (RAG), intent detection models, and autonomous AI agents to deliver intelligent, production-ready solutions.

Key Responsibilities:

Backend Development: Design, develop, and maintain REST APIs using Python to integrate AI/ML services.
Agentic AI Development: Design and orchestrate AI agents capable of reasoning, planning, and executing multi-step tasks by integrating LLMs with APIs, tools, and data sources.
AI/ML Orchestration: Implement and manage machine learning models, large language models (LLMs), Agentic AI workflows and AI orchestration using Python.
Generative AI Solutions: Using Generative AI models for tasks like text generation, summarization, conversational AI, and content creation.
Data Management: Work with structured databases (SQL), graph databases (e.g., CosmosDB), and unstructured data stores (e.g., Elasticsearch).
RAG Implementation: Build retrieval-augmented generation (RAG) pipelines leveraging Azure AI Search, AWS OpenSearch, or other vector databases for contextual responses.
Data Pipelines: Design and manage robust data ingestion and transformation pipelines to feed AI models.
Intent Detection & NLU: Develop or integrate intent detection models and natural language understanding (NLU) solutions to enhance conversational AI.
Prompt Engineering & Optimization: Create and optimize prompts for LLMs to improve response quality and reduce latency.
AI Integration: Collaborate with frontend and product teams to embed Gen AI features into enterprise applications.

Required Skills:

Backend Development: Proficient in Python for building and maintaining scalable REST APIs, familiarity with integrating AI services.
AI/ML Orchestration: Strong expertise in Python with a focus on machine learning, large language models (LLMs), AI orchestration.
Agentic AI Expertise: Experience in building autonomous AI agents using frameworks like OpenAI Functions, or custom orchestration solutions to handle tool use and multi-step reasoning.
Generative AI Expertise: Generative AI models (text generation, summarization, conversational AI) and applying prompt engineering techniques.
Data Management: Solid understanding of structured (SQL), graph (CosmosDB), and unstructured (Elasticsearch) databases; ability to design efficient data access patterns for AI workloads.
RAG Implementation: Proven experience implementing retrieval-augmented generation using Azure AI Search, AWS OpenSearch, or other vector databases.
Data Pipelines: Hands-on experience building and managing data ingestion and transformation pipelines using Databricks, Azure Data Factory, or equivalent tools.
Intent Detection & NLU: Skilled in developing or deploying intent detection models and natural language understanding (NLU) components for conversational AI applications.

Preferred Skills:
Familiarity with cloud platforms such as Azure and AWS.
Knowledge of additional AI/ML frameworks and tools.
Knowledge of Agentic AI
Experience with DevOps practices and CI/CD pipelines.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Cognizant
Location(s): Hyderabad

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[Full Time] Data Science Analyst at Talent Corner

Sun, 08 Mar 2026 15:52:29 +0530

Job Description
Location - Electronic city Phase 1. Salary max 8 LPA only apply. Python, Django, Flask, RESTful APIs, Machine Learning, Deep Learning, Gen AI,LLM, SLLM, SQL.2+ years of experience in working on Python, ML and related frameworks.
Required Candidate profile
Location - Electronic city Phase 1. Max 8 LPA will be offered. Python, Django, Flask, RESTful APIs, Machine Learning, Deep Learning, Gen AI,LLM, SLLM, SQL.2+ yrs of exp on Python, ML frameworks.
Job Classification
Industry: Defence & Aerospace
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Talent corner
Location(s): Bengaluru

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[Full Time] Vice President - AI / Data Science at IndiaFirst Life

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Role Overview

We are looking for an experienced AI Leader to drive AI strategy, build scalable AI/ML solutions, and lead enterprise AI initiative.
The role will focus on developing AI-driven solutions for customer acquisition, underwriting, claims analytics and fraud detection.

Role & responsibilities
Define and implement enterprise AI strategy.

Build and deploy AI / ML models.
Lead a team of Data Scientists and ML Engineers.
Work with cross-functional teams including Product, Marketing, and Underwriting.

Implement AI solutions for business optimization.
Ensure data governance and compliance.
Job Classification
Industry: Insurance
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: IndiaFirst Life
Location(s): Mumbai

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[Full Time] Staff Machine Learning Engineer at Tata Consultancy

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Staff Machine Learning Engineer

Experience Range: 07 - 12 years
Location: Bengaluru, India
Seeking for a technically accomplished and forward-thinking Senior Machine Learning Engineer (MLE) to join the Enterprise Technology team. This role is ideal for professionals passionate about building and deploying cutting-edge generative AI (Gen AI) solutions that drive innovation across our diverse business units. You will lead the design, development, and deployment of scalable machine learning systems, including fine-tuning and customising foundation models (LLMs, diffusion models, GANs, transformers) for real-world applications. The role involves close collaboration with cross-functional teams to integrate GenAI into business use cases such as conversational AI, content generation, personalisation, and media synthesis. This is a hands-on role with opportunities to shape technical strategy, mentor junior engineers, and contribute to the safe and ethical deployment of GenAI technologies across global platforms.

Key Responsibilities:

Collaborate with product managers, stakeholders, and engineering teams to define hypotheses and gather requirements.
Design, develop, and deploy robust, scalable machine learning models for production applications.
Research and integrate state-of-the-art GenAI models (e.g. GPT5, BERT, diffusion models, GANs) into business use cases.
Drive innovation in areas such as conversational AI, media synthesis, personalisation, and agentic systems.
Fine-tune and customise foundation models for specific domains and tasks.
Implement best practices for GenAI safety, alignment, and ethical deployment.
Stay current with GenAI research, open-source models, and industry trends.
Lead ML components from ideation to deployment, collaborating across distributed teams.
Design frameworks for agent development and cross-agent communication.
Collaborate with software engineers, data scientists, and product managers to define success metrics.
Review code, provide feedback, and mentor junior team members.
Communicate technical concepts and project updates to stakeholders across varying technical backgrounds.

Basic Qualifications

Minimum 07 years of experience in machine learning engineering or a related role.
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
Experience with supervised fine-tuning (SFT), parameter-efficient fine-tuning (PEFT), model evaluation, and data preparation.
Strong understanding of MLOps, model monitoring, retraining, and guard railing.
Excellent written and verbal communication skills.
Ability to work independently and manage project-based goals across time zones.

Preferred Qualifications

Experience with agentic architectures and multi-agent systems.
Familiarity with GenAI safety frameworks and ethical deployment strategies.
Exposure to enterprise-scale ML environments and agile delivery models.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Bengaluru

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[Full Time] Manager - Data Science at HDB Financial Services

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
:"
JOB ROLE

Transforming raw data into actionable insights, building predictive models, and supporting data-driven decision-making across the organization.

Review Scorecard Performance Model Outcome Analysis, Assumptions and model limitation, back testing.

Inventory of Models, BRE rules for the model

Build statistical model for predicting ECL movement,

Model the portfolio performance of all products pre scorecard deployment and post scorecard deployment.

Build model for collection flows and estimation of portfolio performance.

KEY RESPONSIBILITIES

Analyze large datasets to identify trends, patterns, and opportunities for business growth and portfolio monitoring.

Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems.

Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.

Design and implement data pipelines and ETL processes.

Communicate findings through dashboards, reports, and presentations using tools like Power BI, Tableau, or Python visualizations.

Build statistical model / scorecards

Can do independent - statistical validation of scorecards

Analyse reason for portfolio movement - Highlighting key changes in portfolio (basis model performance)

Create model for predicting various parameters - ED movement / Probable ED flows, Tracking Write Off movement, recovery trends and probable losses modelling them for predicting future performance.

MANDATORY SKILLS REQUIRED

Degree in Statistics / mathematics / economics with finance background will be an added advantage.

Prior
Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: HDB Financial Services
Location(s): Mumbai

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[Full Time] Head of Data Science For Gurgaon at Honeybee Tech

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Dear Candidate,
Greetings from Honeybee Tech Solutions!
We have an urgent opening for the position of Head of Data Science & AI (7+ Years Experience) for our prestigious client Bajaj Capital.
Interested candidates are requested to share their updated resume at:
peddollu.d@honeybeetechsolutions.com

Job Details
Position: Head of Data Science & AI
Client: Bajaj Capital
Work Location: Gurgaon
Work Type: Work From Office (WFO)
CVR Type: External CVR
Interview Process:
Round 1 Technical (Virtual)
Round 2 Technical (Virtual / F2F)
Round 3 HR
Role Overview
We are looking for a visionary and hands-on Head of Data Science & AI with strong experience in data science, machine learning, and AI-driven analytics to lead the organizations data strategy and analytics initiatives.
In this role, you will take end-to-end ownership of the technology stack, driving a data-driven business roadmap that delivers measurable ROI. The role requires both strategic leadership and hands-on involvement in model development and deployment to support executive decision-making.
If you are passionate about leveraging AI and data to transform financial services, we invite you to lead this data transformation journey.
Experience
Minimum 7+ years of industry experience in Data Science, Machine Learning, or a related field
Proven experience leading AI / Data Science initiatives that delivered significant business impact
Required Technical Skills
Programming & ML
Strong proficiency in Python
Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Cloud & Data Stack
Strong expertise in Google Cloud Platform (GCP)
Experience with:
Vertex AI
BigQuery
Agentic AI
AI & Data Analytics Stack
Deep understanding of:
Data Warehousing
ETL / ELT pipelines
MLOps
Visualization
Experience with Power BI
Exposure to custom web/mobile dashboards
Leadership & Soft Skills
Ability to translate complex technical concepts into business value
Strong ownership mindset and ability to manage end-to-end project lifecycle
Experience in data governance frameworks and executive-level reporting
Key Responsibilities
Strategic Leadership
Define and own the data science and analytics technology stack
Develop and execute data-driven business roadmaps
Provide executive decision support through advanced analytics
AI Model Development
Hands-on involvement in AI modeling and machine learning development
Deploy scalable ML models into production environments
Build predictive models and data pipelines using GCP tools
Business Intelligence
Develop dashboards for sales channels and business teams
Drive data-driven decision-making to improve sales and reduce operational costs
Governance & Quality
Establish data governance frameworks
Ensure data accuracy, security, and compliance
Promote best practices in coding, testing, and documentation
Collaboration
Work with Product, Engineering, and Business teams
Identify opportunities to apply AI/ML solutions
Key Technologies
Primary Keywords
Agentic AI
LLM
Vertex AI
n8n
Zapier
Model Building / Training
Secondary Keywords
RAG
LangChain
Voice AI
Prompt Engineering
Automation
Good to Have
BFSI domain experience (Wealth Management, Insurance, Mutual Funds, Fintech)
Experience with Generative AI and RAG architectures
Certifications such as:
Google Professional Data Engineer
Google Professional Machine Learning Engineer
Education
B.Tech / B.E. / MCA / M.Sc or equivalent in:
Computer Science
Statistics
Mathematics
Data Science
If you are interested, kindly share your updated resume at the earliest.

Looking forward to hearing from you.
Best Regards,
Deva P
Honeybee Tech Solutions
7353365505
peddollu.d@honeybeetechsolutions.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: Honeybee Tech
Location(s): Noida, Gurugram

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[Full Time] Associate Data Scientist at Capgemini

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Your Role
Developed end-to-end Machine Learning and NLP solutions, including data preprocessing, feature engineering, model training, evaluation, and deployment for business use cases.
Performed exploratory data analysis (EDA) and statistical analysis using Python and SQL to extract insights from structured and unstructured datasets.
Built and optimized machine learning models such as regression, classification, clustering, and ensemble methods to generate predictive insights.
Collaborated with cross-functional teams and stakeholders to translate business requirements into scalable AI/ML solutions and support model deployment.
Your profile
Experience in Python (NumPy, Pandas, Matplotlib, Seaborn) and SQL for data analysis, feature engineering, and machine learning development.
Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, and PyTorch.
Knowledge of Natural Language Processing (NLP) techniques and Generative AI concepts, including familiarity with Large Language Models and tools like LangChain.
Experience with data visualization tools such as Tableau or Power BI and exposure to cloud platforms like AWS, Azure, or GCP.
Location - Bengaluru,Chennai,Hyderabad,Kolkata,Calcutta,Mumbai,Noida,Pune
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] Data Engineer at Luxoft

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Project description
We''re looking for a Data Engineer with hands on experience in graph databases to design, build, and optimize data pipelines and knowledge graph solutions that power advanced analytics and discovery. You''ll collaborate with data scientists, platform engineers, and product teams to model complex domains, integrate heterogeneous sources, and deliver queryable, scalable graph data products.
Responsibilities
Graph Data Modeling Design
Design and implement property graphs and RDF/OWL-based knowledge graphs.
Develop schemas/ontologies, entity resolution and lineage strategies; define best practices for graph modeling, naming, and versioning.
Data Engineering Integration
Build and maintain ETL/ELT pipelines to ingest, cleanse, transform, and load data into graph stores from APIs, files, RDBMS, event streams.
Implement batch and streaming integrations using tools such as Airflow, dbt, Kafka/Kinesis, Spark/Flink.
Optimize data quality, deduplication, key management, and incremental upserts into graphs.
Querying APIs
Write advanced queries in Cypher, Gremlin, and/or SPARQL; tune queries and indexes for performance.
Expose graph capabilities via APIs/services (REST/GraphQL/GRANDstack) with robust governance, observability and caching.
Performance, Reliability Security
Capacity planning, clustering, backups, and high availability for graph databases.
Monitoring/alerting (e.g., Prometheus/Grafana, CloudWatch), profiling and query plan analysis.
Apply security best practices: encryption, RBAC/ABAC, least privilege, secrets management, and data masking/Pii handling.
MLOps/Analytics Enablement (nice if applicable)
Support downstream analytics and graph algorithms (PageRank, community detection, embeddings) and integrate with ML pipelines.
DevOps SDLC
Infrastructure-as-Code (Terraform, Bicep, CloudFormation), containerization (Docker, Kubernetes), and CI/CD for data/infra.
Documentation, code reviews, and contribution to data governance (catalogs, lineage, metadata).
Skills
Must have
Experience: 6 years in Data Engineering (or similar) with 2+ years focused on graph databases (property graph and/or RDF).
Graph DBs: Hands-on with at least one of:
Property Graph: Neo4j, AWS Neptune (Gremlin/Cypher).
RDF Triple Stores: Ontotext GraphDB, Apache Jena/Fuseki, Blazegraph, Stardog, Neptune (RDF).
Query Languages: Strong in Cypher and/or Gremlin; SPARQL if working with RDF/OWL.
Data Pipelines: Proficient with Airflow (or similar), Kafka/Kinesis, Spark or Flink; building robust ETL/ELT at scale.
Programming: Python (dataframes, APIs, CLI tooling); solid testing practices (pytest/pytest-bdd).
Cloud: Experience with AWS managed graph/datastores, storage, compute, and networking basics.
Performance Ops: Indexing, memory/GC tuning, query plan analysis, partitioning/sharding concepts, HA/DR, backup/restore.
Security Governance: Secrets management, IAM, network isolation, PII compliance; familiarity with data catalog/lineage tools.
Communication: Ability to translate domain knowledge into graph models and explain trade-offs to non technical stakeholders.
Nice to have
Knowledge Graphs Semantics: RDFS, SHACL, ontology engineering, reasoning/inference, vocabulary alignment (SKOS).
Graph Algorithms Embeddings: Neo4j Graph Data Science, NetworkX, PyTorch Geometric, vector DB integration.
Graph + Search: Integration with Elasticsearch/OpenSearch, hybrid search (BM25 + embeddings).
Data Modeling: Experience migrating from relational to graph; CDC patterns (Debezium), event-driven architectures.
Observability: OpenTelemetry, tracing for data services; data quality frameworks (Great Expectations).
Delivery: Experience with productizing graph APIs, caching layers, SLA/SLO management.
Regulatory: Familiarity with GDPR/CCPA, data retention, sovereignty considerations.
Job Classification
Industry: Legal
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Luxoft
Location(s): Mumbai

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[Full Time] S&c Global Network - Ai - Fs Banking & Capital-consultant at Accenture

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
About The Role

Management Level:09 - Senior Consultant
Location:Gurgaon/Bangalore/Mumbai
Must have skills:Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALLE, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes

Good to have skills:PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions
Experience :Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development .

Educational Qualification:Bachelor''s or Masters in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute.

Job Summary:
Accenture AI is seeking a talented and motivated Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs.

Roles Responsibilities:
Collaboration:Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.

Model Deployment:Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).

API Development:Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications.

Client Collaboration:Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.

Generative AI Model Integration:Integrate generative AI models into existing workflows, applications, and platforms via APIs.

Performance Optimization:Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.

Data Pipeline Development:Build and maintain data pipelines to support real-time or batch processing for generative AI models.

Security and Compliance:Implement security best practices and ensure APIs comply with data privacy and regulatory standards.

Documentation:Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.

Testing and Monitoring:Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.

Stay Updated:Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.

Qualification
Professional Technical
Skills:

3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs).

Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).

Expertise in API Development and deployment, with hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).

Ability to build and optimize data pipelines for generative AI models.

Knowledge of security best practices and ensuring compliance with regulatory standards.

Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions.

Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.

Additional Information:

Experience with large-scale data processing and expertise in NLP or computer vision.

Contributions to open-source AI/ML projects.

Experience with cloud integrations, big data technologies, and performance optimization.

Familiarity with security standards and regulatory compliance in AI solutions.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Mumbai

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[Full Time] Manager, Analytics & Data Science at Pfizer

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
Role Summary

Pfizer is seeking an experienced analytics and data science professional with strong technical, organizational, and interpersonal skills to deliver solution oriented insights and strategic contributions to an innovative and evolving analytics organization within the Legal Division.

The Manager, Analytics & Data Science will play a key role in delivering risk and compliance insights as part of the Legal Division s analytics capability. This role will partner closely with cross functional stakeholders to develop data driven analyses that identify and quantify compliance risk, performance, and effectiveness. This role will be supported and mentored by a team of seasoned analytics and data science experts, providing strong opportunities for professional growth and development.

The Manager is responsible for hands on technical development, execution of analytics and data science initiatives, and translating complex results into clear, actionable insights for business partners. Reporting to the Global Ethics & Risk Management Analytics Lead, this role contributes directly to advancing analytics enabled transformation and insight delivery across the Division.

Role Responsibilities

Deliver end to end solutions supporting risk management and compliance objectives, leveraging capabilities in data management, ETL, visualizations, statistical analysis, and ML/advanced analytics

Build, maintain, and enhance analytics solutions, including workflows, dashboards, models, and other advanced analytics processes

Conduct hypothesis-driven and ad hoc analyses across multiple data sources, structured and unstructured

Partner with cross-functional teams to understand business needs, align deliverables, and support data-driven decision making

Translate complex results into clear, actionable insights for both technical and non-technical stakeholders

Lead QC strategy to mitigate data quality issues, automate detection of QC issues, and drive process improvements that enhance overall data quality

Develop and maintain documentation of projects and processes to support reproducibility and knowledge sharing

Basic Qualifications

Bachelor s degree required. A degree in a quantitative field such as statistics, mathematics, engineering, or computer science is preferred.

5-7 years of experience in analytics or data science, preferable within complex or regulated environments; candidates with fewer years of experience may be considered with demonstrated expertise or proven achievements

Strong understanding of data analytics methodologies, visualization techniques, and insight delivery

Working knowledge of statistics and machine learning concepts

Strong experience with ETL and automation tools is required, Alteryx, Dataiku preferred

Strong experience with at least one viz tool, Tableau preferred

Strong experience with SQL and at least one programming language (e. g. , Python, R)

Strong organizational and project management skills, with the ability to manage time and prioritize effectively

Strong learning agility with strategic, analytical, and critical thinking skills

Ability to communicate complex analytical concepts, methods, and results into simple, actionable insights for non-technical stakeholders.

Excellent written and verbal communication and presentation skills

Preferred Qualifications

Advanced Degree

Experience in the pharmaceutical industry

Experience in compliance, risk mitigation, or audit related function

Experience with generative artificial intelligence (AI) and applications in analytics/data science

Work Location Assignment: Hybrid

Information & Business Tech
Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Mumbai

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[Full Time] Senior Azure Data Engineer at Coforge

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
Coforge is looking for a Senior Azure Data Engineer

The engineer must have following skills
Must have strong skills in:
Databricks on Azure
Unity Catalog
PySpark
SparkSQL
Spark clusters
Unity Catalog security management
Databricks workspace configuration
Performance tuning in a Databricks environment
Azure Data Factory
ADF generally
Integration runtimes
Various connectors
Pipeline creation
Process
Development best practices and processes
Azure DevOps
Git
General Azure infrastructure, for example ADLS, Key Vaults, Functions etc
General communication
Nice to have skills:
Infrastructure as code
Data modelling
CICD pipelines in the context of Azure DevOps
SQL Server
Anything extra would be a bonus

Share your resume over Aarushi.Shukla@Coforge.Com if you're an immediate joiner.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Noida, Gurugram

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[Full Time] S&C Global Network - AI - Public Services- Analyst at Accenture

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
About The Role

Job Title:
Junior Data Scientist / AI Engineer (Entry-Level) for Public Sector
Location:
Mumbai, Bangalore, Gurgaon
About Us:
At Accenture, were leveraging the power of Artificial Intelligence and Data Science to solve real-world problems and create innovative solutions. We are passionate about using data-driven insights and generative AI technologies to shape the future of Public Sector Industry.
Were looking for a motivated and curious individual whos eager to start their career in data science and AI, working alongside experienced mentors and contributing to impactful projects from day one.

Role Overview:
As a Junior Data Scientist / AI Engineer, youll work on end-to-end data and AI projects from data collection and preprocessing to model development, evaluation, and deployment. Youll also explore the latest in Machine Learning (ML) and Generative AI (GenAI) to develop creative solutions for business challenges.
This role is ideal for a recent graduate with hands-on academic or project experience in data science, AI, or ML, who is eager to continue learning and growing in a fast-paced environment.

Key Responsibilities:
Collect, clean, and analyze structured and unstructured data for modeling and insights

Develop, train, and evaluate machine learning models for predictive and generative tasks

Experiment with Generative AI tools (e.g., GPT, Stable Diffusion, Llama, etc.) to build innovative prototypes

Collaborate with cross-functional teams (engineering, analytics, product) to integrate AI solutions into applications

Visualize data and communicate results effectively using dashboards and reports

Stay up-to-date with emerging trends and technologies in data science, AI, and GenAI

Participate in code reviews, documentation, and best practices for reproducible research

Qualification
Required
Qualifications:
Bachelors degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related field

Strong understanding of machine learning concepts (supervised, unsupervised, and deep learning)

Experience with Python and key libraries such as pandas, NumPy, scikit-learn, TensorFlow or PyTorch

Familiarity with Generative AI models (e.g., transformers, diffusion models, LLMs)

Ability to work with data visualization tools (e.g., Matplotlib, Seaborn, Power BI, or Tableau)

Knowledge of SQL and basic data management concepts

Excellent analytical thinking and problem-solving skills

Strong communication and teamwork abilities

Preferred (Nice-to-Have):
Exposure to cloud platforms (AWS, Azure, or GCP)

Understanding of MLOps, APIs, or model deployment tools

Experience with prompt engineering or fine-tuning LLMs

Contributions to open-source or personal AI/ML projects
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Mumbai

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[Full Time] Sr. Data Scientist at Orange Business

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
Bedrijfsomschrijving
Join us at Orange Business!
We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
About the role
Key accountabilities /Key result / decision areas (outcomes)

Manage and deliver all assigned projects as per agreed time frame, allocated budget, resource and quality criteria.

Managing project risks, including the development of contingency plans

Responsible for Identification & all the communication with the stakeholders.

Project plan adherence with a view on coordination of multiple projects/activities in the team.

Timely interaction with stakeholders and update the progress of activity, risks, completion status

Regular tracking of project risks and share with relevant stakeholders

Work with product, Technical and Customer Support on identifying problems in different areas where machine learning/statistics can help.

Present your findings to both technical and non-technical audiences.

Lead traversal technical discussion with Sales, Operation, Technology and Platform and archicture teams.

Participate in the entire LLM development lifecycle, from problem definition and data preparation to model training, evaluation, and deployment.

Identify and own Use case coming from Different BU and lead it from doing POC till industrialization

Design and implement novel LLM architecture and training techniques, leveraging deep learning frameworks like TensorFlow and PyTorch.

Build and share technical architecture with Business SPOC

Develop and maintain efficient pipelines for data preprocessing, training, and inference.

Collaborate with data scientists to curate, clean, and prepare high-quality training data for LLMs.

Develop, contribute and Lead technical framework for AI use case environment

Evaluate LLM performance using appropriate metrics and identify opportunities for improvement.

LLM performance evaluation and define metrices

Apply advanced machine learning algorithms, statistical methods and predictive modeling techniques on large and varied data sets that include application logfiles, other online application telemetry, structured and unstructured data sources

Building machine Learning model and application.

help and act as Technical support to Other DS within team.

Act as technical consultant for Data & AI use case.

Deploy LLMs to production environments and monitor their performance for accuracy, fairness, and efficiency

Building machine Learning model and application.

help and act as Technical support to Other DS within team.

Act as technical consultant for Data & AI use case.

Design and develop front-end interfaces for AI-powered applications using modern web technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular.

Lead and Research and development initiative within Team and come up industry standard practice within team to follow in ongoing projects.

Stay up to date on the latest advancements in LLM research and identify opportunities to incorporate them into your work

Act as SPOC from data & AI team to leverage AI capabilities with Business team.

Build scalable back-end systems and APIs to support AI model integration and data processing using languages such as Python, Java, or Node.js.

Collaborate with researchers to explore new applications for LLMs in various domains.

Define Solution design proposal for business

Manage the infrastructure needed for data scientists to run their experiments and deploy models. This includes setting up computer clusters with GPUs or TPUs for computationally intensive tasks, configuring cloud storage for datasets, and managing containerized environments for model deployment

Document your work clearly and concisely, including research papers, technical reports, and code documentation.
About you

A minimum of 6 years hands-on applied research experience developing and implementing machine learning models on large scale data sets. Experience in Developing GenAI product (Advance RAG, AI Agents..)

Expertise in machine learning and statistical analysis approaches such as classification, clustering, regression, statistical inference, collaborative filtering.

Hands-on experience in conducting analyses on unstructured structured / semi-structured data

Ability to drive initiatives from within the team and realize them for organization and/or teams benefit.

Excellent interpersonal and communication skills.

Sound Knowledge and Understanding of Framework like Langgraph, Langchain, Pytorch..

You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.
Arbeidsvoorwaarden
Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
Professional Development: training programs and upskilling/re-skilling opportunities.
Career Growth: Internal growth and mobility opportunities within Orange.
Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
Reward Programs: Employee Referral Program, Change Maker Awards.
Sollicitatieprocedure
Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
Job Classification
Industry: Telecom / ISP
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Orange Business
Location(s): Noida, Gurugram

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[Full Time] S&c Global Network - Ai - Cg&s - Data Science Senior Manager at Accenture

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
About The Role TBD Qualification
TBD
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Big Data Engineer (AWS) at Coforge

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies, AWS & Scala Mandatory. The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks.

Key Responsibilities:
Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data.
Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway.
Work extensively with streaming platforms like Kafka, Flink, Spark Streaming.
Develop and optimize data ingestion workflows using Apache NiFi, Airflow, Sqoop, Oozie.
Build and maintain data lakes and analytics platforms using AWS Lake Formation.
Hands-on development using Scala with Spark for distributed data processing.
Work with NoSQL databases including DynamoDB, HBase, and Hadoop ecosystem tools like MapReduce, Hive, HDFS.
Collaborate with cross-functional teams to deliver high-performance data solutions.

Technical Skills Required:
Mandatory: Spark, Scala, AWS, Hadoop
Big Data Tools: EMR, Glue, Hive, HDFS, HBase, MapReduce
Streaming & Messaging: Kafka, Kinesis, Flink, Spark Streaming
Data Ingestion: Apache NiFi, Airflow, Sqoop, Oozie
Cloud Platforms: AWS (preferred), Hortonworks, Cloudera, MapR
Programming: Scala (with Spark), Python (optional)
Databases: DynamoDB, NoSQL, HBase
Others: AWS Athena, Lake Formation, CloudFormation

Share your resume over Aarushi.Shukla@coforge.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Coforge
Location(s): Pune

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[Full Time] Data Scientist III at Walmart

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
Position Summary...

What youll do...

About Team:

Sams Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivalled by traditional retail. Sams Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sams Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centres, tire and battery centres, and a portfolio of business operations support services.

You will work in a team of talented data scientists to build robust, distributed and scalable applications solving interesting Supply Chain problems.

What youll do:

As a Data scientist, you ll have the opportunity to

Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.

Play a key role to solve complex problems, pivotal to Sam s Club business and drive actionable insights from terabytes of data.

Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Sam s Club.

Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.

Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.

Develop PoC, present lucidly to the business and evolve the solutions.

Take forward the solutions into Pipelines/APIs as needed by the business.

Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.

Adopt Wal-Mart s quality standards and develop and recommend process standards and best practices across the retail industry.

Stay up to date with and extending the state-of-the-art in Machine Learning research.

Integrate data science solutions into current business processes.

Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.

What youll bring:

Bachelors/ Masters with 2.5+ years of relevant experience in Computer Science/Mathematics/Statistics or any other relevant field.

Strong desire to drive change, and ability to adapt to change quickly.

Strong hands on development skills to prototype technical solutions.

Strong oral and written communication skills.

Good problem-solving attitude and analytical skills.

Good Python development experience with big data.

Experience in analysing complex problems and translating them to data science. algorithms with due attention to computational efficiency and testing at scale.

Expertise in machine learning, supervised and unsupervised along with Time Series.

Basic knowledge on Optimization.

Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.

Experience with SQL, relational databases and data warehouse.

Experience in ML Ops (GCP desired).

Experience with multiple stakeholder management, data based story-telling and multiple project handling at the same time.

.

.

We re back to office

Walmart s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives .

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.

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Minimum Qualifications...

Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years experience in an analytics or related field.

Preferred Qualifications...

Primary Location...
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Walmart
Location(s): Bengaluru

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[Full Time] Data Scientist- II at People Group

Wed, 04 Mar 2026 12:00:00 +0530

Job Description
Description
At Shaadi.com, were not just building a product were building meaningful connections . With millions of users across the globe, we thrive on solving real-life matchmaking challenges using the power of data. If you love turning data into insights and building models that create impact at scale, this is your chance to be part of something special .

What You'll Do:

Partner with Product to spot high-leverage ML opportunities tied to business metrics.
Wrangle large structured and unstructured datasets; build reliable features and data contracts.
Build and ship models to Enhance customer experiences and personalization
Boost revenue via pricing/discount optimization
Power user-to-user discovery and ranking (matchmaking at scale
Detect and block fraud/risk in real time
Score conversion/churn/acceptance propensity for targeted actions
Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
Design and run A/B tests with guardrails.
Build monitoring for model/data drift and business KPIs

What We are Looking For:

3-7 years of DS/ML experience in consumer internet / B2C products, with 7-8 models shipped to production end-to-end.
Proven, hands-on success in at least two (preferably 3-4) of the following:
Recommender systems (retrieval + ranking, NDCG/Recall, online lift;
bandits a plus)
Fraud/risk detection (severe class imbalance, PR-AUC)
Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guard rails/simulation) Propensity models (payment/churn)
Programming: strong Python and SQL; solid git, Docker, CI/CD.
Cloud and data: experience with AWS or GCP; familiarity with
warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
ML breadth: recommender systems, NLP or user profiling, anomaly detection.
Communication: clear storytelling with data; can align stakeholders and drive decisions.

Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: People Group
Location(s): Mumbai

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[Full Time] Sr Analyst I Data Engineering at DXC Technology

Tue, 03 Mar 2026 12:00:00 +0530

Job Description
Essential Job Functions:
Participate in data engineering tasks, including data processing and integration activities.
Assist in the development and maintenance of data pipelines.
Collaborate with team members to collect, process, and store data.
Contribute to data quality assurance efforts and adherence to data standards.
Use data engineering tools and techniques to analyze and generate insights from data.
Collaborate with data engineers and other analysts on data-related projects.
Seek out opportunities to enhance data engineering skills and domain knowledge.
Stay informed about data engineering trends and best practices.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: DXC Technology
Location(s): Bengaluru

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[Full Time] Data Engineering Manager, Cross Border Science and Analytics at Amazon

Tue, 03 Mar 2026 12:00:00 +0530

Job Description
The person leads a team of data engineers and BI engineers to build scalable data platforms and deliver impactful analytics solutions.
The role focuses on testing, evaluating, and deploying the latest AI and machine learning techniques to enhance analytics and decision-making.
This leader ensures reliable data pipelines, strong data governance, and high-quality datasets for advanced insights.
They collaborate closely with product, business, and science teams to translate business needs into data and AI solutions.
The manager also drives best engineering practices, production readiness, and a culture of innovation and measurable impact. About the team
We are the central data and science org for Amazons cross border business. We own 50+ core foundational datasets enabling 8+ business workstreams and drive 100+ analytical reports. Our infrastructure will scale 20PB of data in next 3 years and we are moving fast to execute AI readiness for data and analytics. Our platforms will be self-serviceable, agentic with focused attention on scalability, quality and governance. We drive 15+ ML programs to ensure scientific lens for solving critical business problems. - 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience hiring, developing and promoting engineering talent - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
- Experience working with or evaluating AI systems
- - managing a team driving AI experiments and successfully pushed to production
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Noida, Gurugram

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[Full Time] ML Engineer/Data Scientist at Genpact

Tue, 03 Mar 2026 12:00:00 +0530

Job Description
Exp- 7-15 years
Location- Mumbai, Bangalore
NP- max 30 days
Mode-Hybrid, 12-10 PM
We are seeking a highly motivated Machine Learning Engineer / Data Scientist with hands-on experience in Databricks, Snowflake, MLflow, and Unity Catalog, along with strong Python expertise.
This role bridges advanced analytics and production ML engineering. The ideal candidate can build robust models, operationalize them using modern MLOps practices, and design scalable data pipelines within cloud-native environments.
Technical Skills
Strong programming skills in Python (pandas, NumPy, scikit-learn, etc.)
Hands-on experience with Databricks (Spark, notebooks, jobs)
Experience with Snowflake
Working knowledge of MLflow
Experience implementing governance using Unity Catalog
Strong SQL proficiency
Understanding of distributed computing concepts
Interested candidate share their profiles at neha.singh@genpact.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Genpact
Location(s): Bengaluru

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[Full Time] Artificial Intelligence Engineer at Cirruslabs

Tue, 03 Mar 2026 12:00:00 +0530

Job Description

Experience - 3-6 years
Location - Hyderabad(preferred) or Bangalore
Shift Timings - 2 PM - 11 PM IST

Core Responsibilities:

Developing End-to-end agentic workflows (LangGraph, LangChain etc).
Design tool integrations: APIs, SQL tools, RAG pipelines, automations.
Build RAG pipelines: embeddings, chunking, indexing, hybrid search.
Optimize knowledge retrieval for accuracy + hallucination reduction.
Manage vector DBs (Pinecone/FAISS/We aviate/Chroma DB) and document ingestion.
Experience in Cloud AI services like AWS or Azure or GCP, leveraging AI tools like Copilot/ Gemini for GCP/ Amazon Q.
Job Classification
Industry: Recruitment / Staffing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Cirruslabs
Location(s): Hyderabad

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[Internship] Trainee software engineer python at Vectone Mobile

Mon, 02 Mar 2026 12:00:00 +0530

Job Description
About Worktual
Worktual is an all-in-one cloud communication platform offering enterprise calling, call recording, messaging, file sharing, and video/audio conferencing solutions. As a technology-driven organization, we prioritize robust cybersecurity practices to protect customer data, infrastructure, and communication systems.

Job Description for both requirements under Worktual.

Requirement no1:-
Hiring: Machine Learning & Deep Learning Engineer (GenAI)
Please note people who can Read Write and Speak either 1 of the language can only apply Hindi (or) Kannada (or) Marathi(or) Gujarathi
Company: Worktual
Experience: 01 Years
Employment Type: Full-Time
Location: [Chennai]
Salary: [4-5 LPA]

Role Overview
We are looking for a passionate and skilled Machine Learning & Deep Learning Engineer with strong expertise in Python and emerging Generative AI technologies. This role is ideal for candidates with 01 years of hands-on experience who are eager to work on real-world AI solutions and cutting-edge GenAI applications.

Key Responsibilities
Design, develop, and deploy Machine Learning (ML) and Deep Learning (DL) models for business applications.
Research and experiment with the latest ML/DL/GenAI techniques, frameworks, and research papers.
Preprocess, clean, and manage large-scale datasets for training and evaluation.
Optimize models for performance, scalability, and cloud/edge deployment.
Write clean, efficient, and well-documented Python code.
Develop and maintain CI/CD pipelines for ML model deployment.
Monitor model performance, detect drift, and retrain models when necessary.

Required Skills & Qualifications
01 years of experience in ML/DL (Freshers with strong projects can apply).
Strong Python programming skills.
Hands-on experience with:
NumPy, Pandas, Scikit-learn
TensorFlow / PyTorch
Practical exposure to:
Transformer architectures
Large Language Models (LLMs)
GenAI frameworks (Hugging Face, LangChain, etc.)
Strong understanding of:
Supervised & Unsupervised learning
Evaluation metrics
Hyperparameter tuning
Experience with deployment tools such as FastAPI.
Ability to write modular, reusable, production-ready code.

Walk in person date :-27/02/2026 (or) 28/02/2026
Work Location :- Chennai
POC NAME :-Vikraman
Contact no :-9790804900
Map Link:-https://maps.google.com/maps?q=13.0226052%2C80.2093266&z=17&hl=en

Please call me for further clarification and if possible please come for F2F.
Job Classification
Industry: Telecom / ISP
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Internship
Contact Details:
Company: Vectone Mobile
Location(s): Chennai

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[Full Time] Data Scientist - Data Science- at Bristlecone

Mon, 02 Mar 2026 12:00:00 +0530

Job Description
dddddDisclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Bristlecone
Location(s): Bengaluru

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[Full Time] Data Science Analyst (Lead) at Infogain

Mon, 02 Mar 2026 12:00:00 +0530

Job Description

Core Skills

Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines.

Proven ability to apply modeling and analytical skills to real-world problems.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Solid programming skills with knowledge of R, SQL, Python, PySpark or other data-extraction and analysis tools and programming languages such as Java, JavaScript or C++.

Experience with deployment of machine learning and statistical models on a cloud and leveraging services like Amazon SageMaker and Amazon Forecast.

Knowledge of airline revenue management algorithms and experience of developing demand forecasting and price optimization models

EXPERIENCE

8-11 Years

SKILLS

Primary Skill: Data Science

Sub Skill(s): Data Science

Additional Skill(s): Data Science

Job for Automation
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Bengaluru

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[Full Time] Senior Data Science & AI Specialist at Abbott

Fri, 27 Feb 2026 12:00:00 +0530

Job Description
This Position reports to: Senior Project Manager
In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas in alignment with business stakeholders. Each day, you will build and maintain large-scale statistical models that turn billions of data points into insights and actions. You will also showcase your expertise by driving data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML).
The work model for the role is: #LI-Hybrid.
This role is contributing to Process Automation business for BA Function Operation Centers and Quality division based in Bangalore, India
You will be mainly accountable for:
Front-End Development Translate design mockups into responsive web pages or applications using HTML and CSS, ensuring pixel-perfect implementation.
Application Development & AI Enablement Build end-to-end frameworks, integrating data analytics and AI capabilities for enhanced functionality.
Software Design & Support Ensure effective design, development, validation, and support activities, aligning with customer needs and ABB standards.
Machine Learning & Data Science Develop and fine-tune ML models for predictive analytics, classification, and recommendation systems.
Data Analysis & Visualization Perform exploratory data analysis, preprocess data, and create compelling visualizations for non-technical stakeholders.
Project Planning & Collaboration Define solutions, manage projects, track progress, and collaborate with cross-functional teams to develop data science solutions.
Continuous Learning & ML Deployment Stay updated on the latest AI/ML trends and deploy ML models as REST APIs for seamless integration.
You will join a dynamic team, where you will be able to thrive.
Qualifications for the role
Educational Background & Experience Engineering or masters degree in data science with 8+ years of AI/ML expertise.
Front-End & JavaScript Skills Proficiency in responsive web design and JavaScript frameworks like React, Angular, or Vue.js..
AI/ML & Data Science Expertise Strong Python skills, experience with PyTorch/TensorFlow, and knowledge of Manufacturing/Process Industries.
Cloud & Deployment Proficiency Familiarity with Azure ML Studio, Azure Databricks, Docker, Kubernetes, and MLflow for scalable deployment.
Analytical & Visualization Skills Ability to analyze data, build predictive models, and create insightful visualizations.
Communication & Collaboration Strong ability to engage with clients, cross-functional teams, and stakeholders to drive innovation.
Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: ABB
Location(s): Mumbai

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[Full Time] Senior Data Science & AI Specialist at Abbott

Fri, 27 Feb 2026 12:00:00 +0530

Job Description
This Position reports to: Senior Project Manager
In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas in alignment with business stakeholders. Each day, you will build and maintain large-scale statistical models that turn billions of data points into insights and actions. You will also showcase your expertise by driving data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML).
The work model for the role is: #LI-Hybrid.
This role is contributing to Process Automation business for BA Function Operation Centers and Quality division based in Bangalore, India
You will be mainly accountable for:
Front-End Development Translate design mockups into responsive web pages or applications using HTML and CSS, ensuring pixel-perfect implementation.
Application Development & AI Enablement Build end-to-end frameworks, integrating data analytics and AI capabilities for enhanced functionality.
Software Design & Support Ensure effective design, development, validation, and support activities, aligning with customer needs and ABB standards.
Machine Learning & Data Science Develop and fine-tune ML models for predictive analytics, classification, and recommendation systems.
Data Analysis & Visualization Perform exploratory data analysis, preprocess data, and create compelling visualizations for non-technical stakeholders.
Project Planning & Collaboration Define solutions, manage projects, track progress, and collaborate with cross-functional teams to develop data science solutions.
Continuous Learning & ML Deployment Stay updated on the latest AI/ML trends and deploy ML models as REST APIs for seamless integration.
You will join a dynamic team, where you will be able to thrive.
Qualifications for the role
Educational Background & Experience Engineering or masters degree in data science with 8+ years of AI/ML expertise.
Front-End & JavaScript Skills Proficiency in responsive web design and JavaScript frameworks like React, Angular, or Vue.js..
AI/ML & Data Science Expertise Strong Python skills, experience with PyTorch/TensorFlow, and knowledge of Manufacturing/Process Industries.
Cloud & Deployment Proficiency Familiarity with Azure ML Studio, Azure Databricks, Docker, Kubernetes, and MLflow for scalable deployment.
Analytical & Visualization Skills Ability to analyze data, build predictive models, and create insightful visualizations.
Communication & Collaboration Strong ability to engage with clients, cross-functional teams, and stakeholders to drive innovation.
Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: ABB
Location(s): Delhi, NCR

Apply

[Full Time] Senior Data Science & AI Specialist at Abbott

Fri, 27 Feb 2026 12:00:00 +0530

Job Description
This Position reports to: Senior Project Manager
In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas in alignment with business stakeholders. Each day, you will build and maintain large-scale statistical models that turn billions of data points into insights and actions. You will also showcase your expertise by driving data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML).
The work model for the role is: #LI-Hybrid.
This role is contributing to Process Automation business for BA Function Operation Centers and Quality division based in Bangalore, India
You will be mainly accountable for:
Front-End Development Translate design mockups into responsive web pages or applications using HTML and CSS, ensuring pixel-perfect implementation.
Application Development & AI Enablement Build end-to-end frameworks, integrating data analytics and AI capabilities for enhanced functionality.
Software Design & Support Ensure effective design, development, validation, and support activities, aligning with customer needs and ABB standards.
Machine Learning & Data Science Develop and fine-tune ML models for predictive analytics, classification, and recommendation systems.
Data Analysis & Visualization Perform exploratory data analysis, preprocess data, and create compelling visualizations for non-technical stakeholders.
Project Planning & Collaboration Define solutions, manage projects, track progress, and collaborate with cross-functional teams to develop data science solutions.
Continuous Learning & ML Deployment Stay updated on the latest AI/ML trends and deploy ML models as REST APIs for seamless integration.
You will join a dynamic team, where you will be able to thrive.
Qualifications for the role
Educational Background & Experience Engineering or masters degree in data science with 8+ years of AI/ML expertise.
Front-End & JavaScript Skills Proficiency in responsive web design and JavaScript frameworks like React, Angular, or Vue.js..
AI/ML & Data Science Expertise Strong Python skills, experience with PyTorch/TensorFlow, and knowledge of Manufacturing/Process Industries.
Cloud & Deployment Proficiency Familiarity with Azure ML Studio, Azure Databricks, Docker, Kubernetes, and MLflow for scalable deployment.
Analytical & Visualization Skills Ability to analyze data, build predictive models, and create insightful visualizations.
Communication & Collaboration Strong ability to engage with clients, cross-functional teams, and stakeholders to drive innovation.
Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: ABB
Location(s): Hyderabad

Apply

[Full Time] Senior Data Science & AI Specialist at Abbott

Fri, 27 Feb 2026 12:00:00 +0530

Job Description
This Position reports to: Senior Project Manager
In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas in alignment with business stakeholders. Each day, you will build and maintain large-scale statistical models that turn billions of data points into insights and actions. You will also showcase your expertise by driving data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML).
The work model for the role is: #LI-Hybrid.
This role is contributing to Process Automation business for BA Function Operation Centers and Quality division based in Bangalore, India
You will be mainly accountable for:
Front-End Development Translate design mockups into responsive web pages or applications using HTML and CSS, ensuring pixel-perfect implementation.
Application Development & AI Enablement Build end-to-end frameworks, integrating data analytics and AI capabilities for enhanced functionality.
Software Design & Support Ensure effective design, development, validation, and support activities, aligning with customer needs and ABB standards.
Machine Learning & Data Science Develop and fine-tune ML models for predictive analytics, classification, and recommendation systems.
Data Analysis & Visualization Perform exploratory data analysis, preprocess data, and create compelling visualizations for non-technical stakeholders.
Project Planning & Collaboration Define solutions, manage projects, track progress, and collaborate with cross-functional teams to develop data science solutions.
Continuous Learning & ML Deployment Stay updated on the latest AI/ML trends and deploy ML models as REST APIs for seamless integration.
You will join a dynamic team, where you will be able to thrive.
Qualifications for the role
Educational Background & Experience Engineering or masters degree in data science with 8+ years of AI/ML expertise.
Front-End & JavaScript Skills Proficiency in responsive web design and JavaScript frameworks like React, Angular, or Vue.js..
AI/ML & Data Science Expertise Strong Python skills, experience with PyTorch/TensorFlow, and knowledge of Manufacturing/Process Industries.
Cloud & Deployment Proficiency Familiarity with Azure ML Studio, Azure Databricks, Docker, Kubernetes, and MLflow for scalable deployment.
Analytical & Visualization Skills Ability to analyze data, build predictive models, and create insightful visualizations.
Communication & Collaboration Strong ability to engage with clients, cross-functional teams, and stakeholders to drive innovation.
Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: ABB
Location(s): Pune

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[Full Time] Senior Data Science & AI Specialist at Abbott

Fri, 27 Feb 2026 12:00:00 +0530

Job Description
This Position reports to: Senior Project Manager
In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas in alignment with business stakeholders. Each day, you will build and maintain large-scale statistical models that turn billions of data points into insights and actions. You will also showcase your expertise by driving data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML).
The work model for the role is: #LI-Hybrid.
This role is contributing to Process Automation business for BA Function Operation Centers and Quality division based in Bangalore, India
You will be mainly accountable for:
Front-End Development Translate design mockups into responsive web pages or applications using HTML and CSS, ensuring pixel-perfect implementation.
Application Development & AI Enablement Build end-to-end frameworks, integrating data analytics and AI capabilities for enhanced functionality.
Software Design & Support Ensure effective design, development, validation, and support activities, aligning with customer needs and ABB standards.
Machine Learning & Data Science Develop and fine-tune ML models for predictive analytics, classification, and recommendation systems.
Data Analysis & Visualization Perform exploratory data analysis, preprocess data, and create compelling visualizations for non-technical stakeholders.
Project Planning & Collaboration Define solutions, manage projects, track progress, and collaborate with cross-functional teams to develop data science solutions.
Continuous Learning & ML Deployment Stay updated on the latest AI/ML trends and deploy ML models as REST APIs for seamless integration.
You will join a dynamic team, where you will be able to thrive.
Qualifications for the role
Educational Background & Experience Engineering or masters degree in data science with 8+ years of AI/ML expertise.
Front-End & JavaScript Skills Proficiency in responsive web design and JavaScript frameworks like React, Angular, or Vue.js..
AI/ML & Data Science Expertise Strong Python skills, experience with PyTorch/TensorFlow, and knowledge of Manufacturing/Process Industries.
Cloud & Deployment Proficiency Familiarity with Azure ML Studio, Azure Databricks, Docker, Kubernetes, and MLflow for scalable deployment.
Analytical & Visualization Skills Ability to analyze data, build predictive models, and create insightful visualizations.
Communication & Collaboration Strong ability to engage with clients, cross-functional teams, and stakeholders to drive innovation.
Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: ABB
Location(s): Chennai

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[Full Time] Senior Manager - Data Science at Abbott

Fri, 27 Feb 2026 12:00:00 +0530

Job Description

Your Role and Responsibilities:

We are seeking a highly skilled Senior Data Scientist with expertise in finance and manufacturing domains to join our dynamic team. The ideal candidate will be adept at using internal and external data sets to find opportunities for product and process optimization and using advanced analytics or AI/ML models driving data driven decision making and action. In this role, you will partner your key stakeholders to identify opportunities to drive value through data and analytics solutions, work with our team of business analysts, junior data scientists, developers to drive experimentation, pilot and scale analytics solutions and track value impact.

The work model for the role is: Hybrid #LI- Hybrid

You will be accountable for :

- Leading cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.

- Building, developing, and maintaining analytical models that support key business decisions and overseeing the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations.

- Engaging with stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.

- Implementing agile methodologies in all aspects of project life cycle, ensuring timely delivery of high-quality products along with driving the collection of new data and the refinement of existing data sources; assess the effectiveness and accuracy of new data sources and data gathering techniques.

- Developing custom data models and algorithms to apply to data sets, with a keen focus on financial and manufacturing domains, using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.

- Coordinating with different functional teams to implement models and monitor outcomes along with developing processes and tools to monitor and analyze model performance and data accuracy.

Qualifications for the role:

- Masters degree in Computer Science, Statistics, Applied Mathematics, or related field.

- 6+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments.

- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets and knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

- Experience with cloud services (AWS, Azure, GCP) and understanding of scaling analytics projects in cloud environments.

- Excellent written and verbal communication skills for coordinating across teams.

Whats in it for you?

We empower you to take initiative, challenge ideas, and lead with confidence. Youll grow through meaningful work, continuous learning, and support thats tailored to your goals. Every idea you share and every action you take contributes to something bigger.

Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: ABB
Location(s): Mumbai

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[Full Time] Senior Data Science & AI Specialist at Abbott

Fri, 27 Feb 2026 12:00:00 +0530

Job Description
This Position reports to: Senior Project Manager
In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas in alignment with business stakeholders. Each day, you will build and maintain large-scale statistical models that turn billions of data points into insights and actions. You will also showcase your expertise by driving data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML).
The work model for the role is: #LI-Hybrid.
This role is contributing to Process Automation business for BA Function Operation Centers and Quality division based in Bangalore, India
You will be mainly accountable for:
Front-End Development Translate design mockups into responsive web pages or applications using HTML and CSS, ensuring pixel-perfect implementation.
Application Development & AI Enablement Build end-to-end frameworks, integrating data analytics and AI capabilities for enhanced functionality.
Software Design & Support Ensure effective design, development, validation, and support activities, aligning with customer needs and ABB standards.
Machine Learning & Data Science Develop and fine-tune ML models for predictive analytics, classification, and recommendation systems.
Data Analysis & Visualization Perform exploratory data analysis, preprocess data, and create compelling visualizations for non-technical stakeholders.
Project Planning & Collaboration Define solutions, manage projects, track progress, and collaborate with cross-functional teams to develop data science solutions.
Continuous Learning & ML Deployment Stay updated on the latest AI/ML trends and deploy ML models as REST APIs for seamless integration.
You will join a dynamic team, where you will be able to thrive.
Qualifications for the role
Educational Background & Experience Engineering or masters degree in data science with 8+ years of AI/ML expertise.
Front-End & JavaScript Skills Proficiency in responsive web design and JavaScript frameworks like React, Angular, or Vue.js..
AI/ML & Data Science Expertise Strong Python skills, experience with PyTorch/TensorFlow, and knowledge of Manufacturing/Process Industries.
Cloud & Deployment Proficiency Familiarity with Azure ML Studio, Azure Databricks, Docker, Kubernetes, and MLflow for scalable deployment.
Analytical & Visualization Skills Ability to analyze data, build predictive models, and create insightful visualizations.
Communication & Collaboration Strong ability to engage with clients, cross-functional teams, and stakeholders to drive innovation.
Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: ABB
Location(s): Bengaluru

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[Full Time] Senior Data Scientist (AI/ML Specialist) at Opentext

Fri, 27 Feb 2026 12:00:00 +0530

Job Description
YOUR IMPACT:
We are seeking a seasoned Senior Data Scientist to lead the development of intelligent solutions that solve complex business challenges.
You will own the full lifecycle of AI/ML projects-from raw data processing and feature engineering to model deployment and monitoring. With 6+ years of experience, you are expected to bring technical depth in Python, a strong foundation in statistical modeling, and the ability to mentor junior team members.
WHAT THE ROLE OFFERS :
End-to-End ML Pipelines: Design, develop, and deploy scalable machine learning models (Supervised, Unsupervised, and Deep Learning).
Advanced Data Processing: Architect robust data preprocessing workflows to handle large-scale structured and unstructured datasets, ensuring high data quality and integrity.
AI Innovation: Stay at the forefront of AI research (Generative AI, LLMs, NLP, or Computer Vision) and apply cutting-edge techniques to improve existing products.
Feature Engineering: Collaborate with Data Engineers to create reusable feature stores and optimize ETL/ELT processes for ML readiness.
Model Governance: Implement MLOps best practices, including model versioning (MLflow), experiment tracking, and monitoring for data drift and performance decay.
Strategic Leadership: Translate ambiguous business problems into technical roadmaps and present actionable insights to executive stakeholders.
WHAT YOU NEED TO SUCCEED :
Bachelors or Masters or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
Programming: Mastery of Python (Pandas, NumPy, Scikit-learn) and proficiency in SQL for complex data extraction.
Machine Learning: Deep expertise in classical ML (XGBoost, Random Forest) and Deep Learning frameworks (TensorFlow or PyTorch).
Data Engineering: Strong experience in data processing at scale (using PySpark, Dask, or specialized SQL window functions).
Deployment: Experience containerizing models with Docker/Kubernetes and deploying via APIs (FastAPI/Flask).
Cloud Platforms: Hands-on experience with AI/ML services in Azure (Azure ML), AWS (SageMaker), or GCP (Vertex AI).
Mentorship: Proven track record of guiding junior and mid-level Data Scientists through technical hurdles.
Analytical Storytelling: The ability to explain the "why" behind a model''s prediction to non-technical business leaders.
Resilience: Comfort with the iterative nature of data scienceknowing when to pivot an approach based on experiment results.
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Opentext
Location(s): Bengaluru

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[Full Time] Data Scientist at Apple

Wed, 25 Feb 2026 12:00:00 +0530

Job Description

Lead end-to-end insight development, from data preparation and statistical analysis to LLM prompt engineering.

Design and deploy ML models for forecasting, anomaly detection, attribution modeling, and causal inference.

Build RCA and recommendation engines to enhance summarization and chatbot capabilities.

Analyze agent interactions and implement LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.

Support experimentation and A/B testing for new insight types and interaction methods.

Collaborate with AI engineers and PMs to scale features across regions and tools.

Job Requirements

Strong proficiency in Python programming language.

Experience with data visualization tools such as Tableau or Power BI.

Knowledge of machine learning algorithms and statistical analysis techniques.

Excellent communication and collaboration skills.

Ability to work in a fast-paced environment and meet deadlines.

Strong problem-solving skills and attention to detail.

Job Classification
Industry: Consumer Electronics & Appliances
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Apple
Location(s): Hyderabad

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[Full Time] Data Science Professional at Capgemini

Wed, 25 Feb 2026 12:00:00 +0530

Job Description
Your Role

Drive data analytics strategy from design through implementation while acting as a trusted advisor to our clients. Develop analytics roadmap and business case; analytics and data strategy; business analysis for problem solving; client engagement; stakeholder management; drive end-to-end analytics project

Data and Analytics Solution Architecture - helping our clients define, design and implement complex data solutions for critical business priorities

Leading projects which consist of delivery consultants with different analytics division like big data, data science, data engineering, data warehousing and data visualization to solve business problem

Managing client expectations and engagement staffing, issues and risks.

Your Profile

Education : Engineering graduates (B.E/B.Tech / PG degree (M.E/ M.Tech/ M.Sc/ MBA etc.) O ther graduates (Mathematics / Statistics / Computer Science & Applications). 4-8 years of experience in delivering data & analytics delivery engagements in one/two of the following areas preferably Consumer Products, Retail, Manufacturing, Automotive, Life Sciences, Financial Services, Telecom, Media, Technology.

Exposure of analytics frameworks, projects lifecycle. H ands-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Applied statistics skills, such as distributions, statistical inference & testing, etc.

Excellent understanding and hand-on experience on building Deep-learning models for text and image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Good understanding of GenAI & Agentic AI. Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV etc. Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc.

Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc. Experience on deployment of model in production, MLOps, GenAI technologies, project delivery management & team handling and support in RFP submission and client pitches from AI/ ML perspective.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Mumbai

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[Full Time] Data Scientist at Kyndryl

Tue, 24 Feb 2026 12:00:00 +0530

Job Description
Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the worlds leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our peopleKyndrylsthat means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.You will dive deep into the heart of our business, understanding its objectives and requirements viewing them through the lens of business acumen, and converting this knowledge into a data problem. Youll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.

Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 10 years of experience in Data Science and Machine Learning. The ideal candidate should have expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) is essential to quickly understand requirements and develop solutions. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable.

Responsibilities:

Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives.

Prepare and Present solution to clients to seek approval.

Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.

Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.

Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).

In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.Additionally, you're not just building and validating models youre deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you wont find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Who You Are
Youre good at what you do and possess the required experience to prove it. However, equally as important you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused someone who prioritizes customer success in their work. And finally, youre open and borderless naturally inclusive in how you work with others.

Required Technical and Professional Experience:

Minimum of 10 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture.

Experience developing and presenting solutions, responses to RFPs to clients.

Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) to quickly understand requirements and develop solutions.

Graduate/Postgraduate in computer science, computer engineering, or equivalent with 10-12 years of experience in the IT industry.

Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals.

Minimum 5-6 years of hands-on experience in a Data Scientist role or similar role.

Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques.

Experience using LLM models on cloud platforms (OpenAI @ Azure, AWS Bedrock, GCP Vertex AI).

Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).

Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions.

Strong domain experience in at least two industries (e.g., Financial, Retail, Manufacturing, Telecom).

Completed 2-3 projects in the domain of expertise.

Strong knowledge of Python, C/C++.

Data mining, visualization, and machine learning skills.

Fluent in English (written and spoken).

Degree in a quantitative discipline, such as mathematics, statistics, computer science, or other engineering fields.

Preferred Technical and Professional Experience

Certification in one or more of the hyperscalers (Azure, AWS, Google Cloud Platform)

Being You
The Kyn in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you dont meet every requirement, we encourage you to apply. We believe in growth, and were excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging being a valued, respected, trusted member of the team is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. Thats The Kyndryl Way.

What You Can Expect
Your career with us isnt just a jobits an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social healthbecause we know that when you feel your best, you do your best. From your very first day, youll dive into impactful work that powers the systems our customers rely on every day. You wont just contributeyoull make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.Were here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, youll have everything you need to thrive and evolve. Youll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunitiesfrom certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, youll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive hereand were committed to helping you do just that. Ready to make an impact? Join us and help shape whats next.
Get Referred!
If you know someone that works at Kyndryl, when asked How Did You Hear About Us during the application process, select Employee Referral and enter your contact's Kyndryl email address.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Kyndryl
Location(s): Mumbai

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[Full Time] Senior Manager Data Science - Python, Sql, Cloud, Databricks at Optum

Tue, 24 Feb 2026 12:00:00 +0530

Job Description

Shift time: 11:00 AM - 8:30 PM IST (with flexibility to connect with Onshore Stakeholders once or twice a week)

Reporting to the Vice President, the leader owns the strategy and execution of value measurement for the Data Platform and serves as the primary point of accountability for how platform performance and value are quantified and communicated to senior leadership

This leader defines and manages the platform''s KPI and measurement framework so that cost, performance, adoption, and business impact are transparently understood and used to guide investment decisions

As the owner of the platform''s value and insights portfolio, the leader will establish and maintain dashboards and reporting for cost, performance, latency, utilization, and adoption; designs and applies value and ROI frameworks; and leads analyses that quantify the impact of product and modernization choices

The leader partners closely with Product, Engineering, Architecture, Finance, and the Program Partner Enablement leader to ensure that metrics are aligned to business objectives and that insights are translated into action

This is a people leader role that combines product analytics, knowledge of cloud-based data management and analytics platforms, effective use of advanced analytics and AI tools, financial acumen, and talent leadership

The leader will lead and develop a team of data professionals, prioritizes work against strategic objectives, and sets standards for data quality, governance, and storytelling in all platform reporting. The leader represents Value Insights in portfolio and cross-platform forums, clearly communicating trends, trade-offs, and recommendations to senior stakeholders

Primary Responsibilities:

Own the value and measurement strategy for the Experience Data Platform, including KPI definitions, scorecards, and reporting standards

Design, build, and maintain dashboards that provide executive-ready visibility into cost, performance, latency, utilization, and adoption

Develop and apply value, ROI, and cost-transparency frameworks to evaluate platform capabilities and modernization investments

Conduct complex analyses to identify trends, risks, and opportunities; synthesize findings into clear recommendations for senior leaders

Partner with Product, Engineering, Architecture, Finance, and the Program Partner Enablement leader to ensure metrics and insights are aligned to business goals and are embedded in decision-making

Establish and enforce standards for data quality, lineage, and governance across all Value Insights artifacts

Oversee the selection and effective use of cloud-based data and BI tools used for platform measurement and reporting

Lead, coach, and develop a high-performing team of data professionals; set priorities, provide feedback, and support career growth

Represent Value Insights in portfolio planning, quarterly business reviews, and cross-functional forums, clearly articulating trade-offs and platform performance

Identify and implement opportunities to automate reporting, improve measurement methodology, and enhance the overall analytics toolset

Identify and implement opportunities to use advanced analytics and AI tools to enhance forecasting, anomaly detection, and insight generation for platform stakeholders

Perform other duties as assigned

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

BE or B.Tech, or an MBA from a premier institute, with relevant coursework or certifications in advanced analytics

15+ years of leadership experience in data analysis, supported by deep expertise in:

12+ years of experience in Python, leading cloud platforms (Azure/AWS/GCP), Databricks, SQL and the O365 ecosystem

10+ years of hands-on expertise with Power BI and Snowflake, driving advanced analytics, reporting, and data platform optimization

Proven experience leading initiatives within Product and/or Marketing domains, with the ability to translate business needs into datadriven strategies and insights

Proficiency with United AI Studio or an equivalent AI platform

Demonstrated leadership in driving AI and machine learning strategy, adoption, and innovation

Proven adept at shaping data strategy and driving highimpact, insightled decisionmaking for senior stakeholders

Job Classification
Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Noida, Gurugram

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[Full Time] Manager - Data Science at Axtria

Tue, 24 Feb 2026 12:00:00 +0530

Job Description

Your Responsibilities includes but not limited.
Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT
Software development experience in python is needed as backend for UI based applications
Be a part of large delivery teams working on advanced projects when expert assistance is required.
Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production.
Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms
Can interact with client on GenAI related capabilities and use cases

Must have
Skills:

Minimum of 5-6 years develop, test, and deploy Python based applications on Azure/AWS platforms
Must have basic knowledge on concepts of Generative AI / LLMs / GPT
Deep understanding of architecture and work experience on Web Technologies
Python, SQL hands-on experience
Expertise in any popular python web frameworks e.g. flask, Django etc.
Familiarity with frontend technologies like HTML, JavaScript, REACT
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Axtria
Location(s): Noida, Gurugram

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[Full Time] Data Science Manager - R&D (Life sciences) at ZS

Tue, 24 Feb 2026 12:00:00 +0530

Job Description

Data Science Manager R&D
As the Data Science Manager for the Life Science Research & Development team, you'll lead your team to create data-driven solutions using ML algorithms. You'll educate teams on machine learning models and help turn goals into data solutions. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. In addition to advanced analytics skills, the candidate should also be skilled in integrating and preparing large, varied datasets, implementing specialized database and computing environments, and communicating results. This role requires a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to efficiently cycle hypotheses through the discovery phase of the project.

What Youll Do -

Design and implement AI/ML solutions tailored to life sciences R&D needs, including drug discovery, clinical trials, and regulatory compliance.

Develop and implement data science strategies that align with the overall goals of the R&D team and the organization.

Lead the development of RFP responses, proposals, and POVs for potential and existing clients

Build and maintain strong relationships with clients, acting as a trusted advisor on AI/ML capabilities

Oversee project execution, ensuring timely and high-quality delivery

Design and implement predictive models and machine learning algorithms to support research objectives

Demonstrate proficiency with various approaches in regression, classification, and cluster analysis

Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform;

Stay current with the latest advancements in data science and life sciences, and apply this knowledge to drive innovation.

Communicate findings and insights to stakeholders through reports, presentations, and publications.

Provide thought leadership and innovation through research and publication.

What Youll Bring -

Bachelors or Masters in Data Science, Computer Science, Bioinformatics, or a related field.

10-14 years of experience in data science, with at least 2 years in a managerial role within the life sciences industry.

Demonstrated experience in the life sciences industry, particularly in R&D.

Proven track record of driving business development, including responding to RFPs and building POVs.

Must have experience in statistical programming in R, SAS, SPSS, MATLAB, Python or TensorFlow

Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks and tools.

Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.

Proven leadership and team management skills, with the ability to inspire and motivate a team.

Excellent verbal and written communication skills, with the ability to present complex information clearly and effectively.

Ability to work collaboratively in a multidisciplinary environment.

Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: ZS
Location(s): Noida, Gurugram

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[Full Time] AI/ML cloud Engineer at People Tech

Tue, 24 Feb 2026 12:00:00 +0530

Job Description
Hello,

Greetings!

We are currently hiring for the role of AI/ML-Cloud Engineer, and your profile caught our attention. Given your experience in Machine Learning and Cloud technologies, we believe this role could be a great fit for you.

Job Title: AI/ML-Cloud Engineer
Location: Hyderabad
Experience: 2-5 Years

Job Description:
We are looking for a skilled AI/ML Engineer with strong expertise in Computer Vision and AWS cloud services. The ideal candidate will be responsible for designing, developing, optimizing, and deploying ML models in cloud environments.
Key skills: Python, Computer Vision (YOLO, Faster R-CNN), AWS (S3, Lambda, MQTT), Dataset Annotation, Model Optimization.
Key Responsibilities:
Develop and deploy AI/ML models using Python
Implement Computer Vision solutions using YOLO, Faster R-CNN
Work on object detection and image processing pipelines
Perform dataset preparation, annotation, and validation
Optimize models for performance, accuracy, and scalability
Deploy and manage ML workloads on AWS (S3, Lambda, MQTT)
Collaborate with cross-functional teams for end-to-end solution delivery
Required Skills:
Strong programming skills in Python
Hands-on experience in Computer Vision frameworks
Experience with YOLO, Faster R-CNN
Working knowledge of AWS Cloud services (S3, Lambda, MQTT)
Experience in Dataset Annotation & Model Optimization
Understanding of ML model deployment and performance tuning.

If you are interested, please share your updated resume with me at: smrity.rani@peopletech.com

Thanks,
Smrity Rani

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Computer Vision
Employement Type: Full time
Contact Details:
Company: People Tech
Location(s): Hyderabad

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[Full Time] Sr Manager - Data Science and Advanced Analytics at Indegene

Fri, 20 Feb 2026 12:00:00 +0530

Job Description

Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects.
Develop and implement data science strategies that align with the overall goals of the AI team and the organization.
Drive business and strategy development through project delivery and client relationship management;
Develop/sell new business opportunities
Direct multiple projects simultaneously, honing analytic and project management skills;
Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform;
Motivate, coach and serve as a role model for project team members
Provide thought leadership and innovation through research and publication.

Desired Profile:
Bachelors/Master degree in Computer Science, Statistics or related discipline;
10+ years of relevant work experience in Data science projects, managing delivery for clients
Experience with big data, claims analytics, advanced analytics concepts and algorithms (eg text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc);
Relevant programming background (eg Python/R);
Strong understanding of relevant tools/platforms (eg cloud platforms such AWS/Azure);
Proven track record of business development
Agile project planning and project management experience;
Team management and skill development experience;
Relevant domain knowledge preferred; (healthcare, pharma);
Excellent oral and written communication skills;
Strong attention to detail, with a research-focused mindset;
Excellent critical thinking and problem solving skills

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Indegene
Location(s): Bengaluru

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[Full Time] S&C Global Network - AI - Retail - Consultant at Accenture

Tue, 17 Feb 2026 12:00:00 +0530

Job Description
Job Title - S&C Global Network - AI - Retail - Consultant - Retail Specialized Data Scientist/ Retail Specialized Data Scientist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills:
A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions.
Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams.
Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets.
Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns.
Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn).
Expertise in supervised and unsupervised learning algorithms
Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity.

Good to have skills:
Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing.
Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows.
Familiarity with designing scalable and efficient data pipelines and architecture.
Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly.

Job Summary : The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Roles & Responsibilities:
Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs.
Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns.
Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models.
Use AI-driven techniques for personalization, demand forecasting, and fraud detection.
Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases.
Stay updated on the latest trends in data science and retail technology.
Collaborate with executives, product managers, and marketing teams to translate insights into business actions.

Professional & Technical Skills :
Strong analytical and statistical skills.
Expertise in machine learning and AI.
Experience with retail-specific datasets and KPIs.
Proficiency in data visualization and reporting tools.
Ability to work with large datasets and complex data structures.
Strong communication skills to interact with both technical and non-technical stakeholders.
A solid understanding of the retail business and consumer behavior.
Programming Languages:Python, R, SQL, Scala
Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras
Visualization Tools:Tableau, Power BI, Matplotlib, Seaborn
Big Data Technologies:Hadoop, Spark, AWS, Google Cloud
Databases:SQL, NoSQL (MongoDB, Cassandra)

Additional Information: - Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Mumbai

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[Full Time] Ai Ml Engineer at Wipro

Mon, 16 Feb 2026 12:00:00 +0530

Job Description
Job Code: JC 133505
Role: AI/ML Engineer
Location: Chennai | Bangalore | Pune | Hyderabad
Job Description:
We are looking for an AI/ML Engineer to design, develop, and deploy ML/DL models for Medicare use cases such as Intelligent Document Intake, anomaly detection, and data validation. The role involves endtoend model lifecycle management, MLOps, and integration with enterprise platforms.
Key Skills:
Python, TensorFlow, PyTorch
Azure ML
CI/CD, MLOps, Docker, Kubernetes
Data preparation, image annotation, REST APIs
Model governance & lifecycle management
Exposure to LLMs, RAG pipelines, prompt engineering (good to have)

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Wipro
Location(s): Hyderabad

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[Full Time] Data Scientist at Luxoft

Mon, 16 Feb 2026 12:00:00 +0530

Job Description
Project description
We are looking for a hands-on Data Scientist to lead the development of machine learning models and data-driven insights for Digital Oilfield (DOF) systems. This role requires a strong foundation in data science and statistical modeling, with the ability to transform noisy, real-world oilfield data into actionable intelligence for engineering teams.Candidate will work alongside production engineers, software developers, and ML engineers to design, validate, and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations. Oil & gas experience is a strong asset but not mandatory; the ideal candidate brings analytical rigor and problem-solving expertise to solve complex field challenges.
Responsibilities
Analyze diverse operational datasets (time series, tabular, sensor logs, etc.) to extract insights and guide model development.
Build and evaluate ML models for forecasting, anomaly detection, pattern recognition, and classification.
Work with engineers to define KPIs and convert domain-specific questions into quantifiable modeling tasks.
Design meaningful visualizations and dashboards to communicate model outputs clearly.
Collaborate with ML Ops and software teams to deploy models into production environments and monitor performance.
Business trip to Kuwait
Skills
Must have
Strong statistical background and data science expertise with real-world datasets.
Proficient in Python (NumPy, pandas, scikit-learn, XGBoost, etc.); SQL fluency and data wrangling skills.
Experience working with large, messy, or multivariate time series data.
Ability to communicate complex model behavior to engineers and stakeholders.
Comfortable working in cross-functional teams with domain and technical experts.
Nice to have
Oilfield data exposure (e.g., well data, reservoir simulations, production logs) or interest in industrial applications.
Familiarity with DOF systems or production optimization frameworks.
Exposure to LLMs, NLP techniques, or agent-based AI for enhancing technical workflows.
Cloud familiarity (Azure preferred); knowledge of ML platforms (e.g., Azure ML, Databricks).
Certifications:
Azure Data Scientist Associate or Microsoft AI Fundamentals certification is a plus.
AWS cloud knowledge is welcome but not required.

Location - Pune,Mumbai,Chennai,Banagalore
Job Classification
Industry: Legal
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Luxoft
Location(s): Mumbai

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[Full Time] Machine Learning Engineer at Luxoft

Mon, 16 Feb 2026 12:00:00 +0530

Job Description
Project description
We are seeking a skilled Machine Learning Engineer to develop and deploy Graph Neural Network (GNN) based surrogate models that approximate complex physics simulations for oil & gas pipeline and well networks
This is a hands-on role for someone who can build high-fidelity neural network models that replace computationally expensive reservoir and network simulators (Nexus, Prosper)
Responsibilities
Design and implement Neural Network architectures to model flow dynamics in interconnected pipeline networks
Build surrogate models that accurately predict pressure distributions, flow rates, and network behavior under varying operational scenarios (training data is acquired through running simulations of the physics models)
Create data pipelines to extract network topology and simulation results from physics-based models (Nexus/Prosper) and transform them into graph representations
Develop training frameworks that incorporate physics constraints (conservation laws, pressure-flow relationships) into neural network loss functions
Collaborate with petroleum engineers to ensure model predictions align with physical behavior and operational constraints
Implement model monitoring, validation, and continuous improvement workflows
business trip to Kuwait
Skills
Must have
Strong expertise in Graph Neural Networks (GCN, GraphSAGE, Message Passing Networks) with proven implementation experience
Deep understanding of deep learning frameworks (PyTorch Geometric, DGL, or TensorFlow GNN)
Experience building surrogate models or physics-informed neural networks (PINNs) for engineering applications
Proficiency in Python and scientific computing libraries (NumPy, SciPy, Pandas)
Demonstrated ability to work with complex data structures (graphs, time-series, spatial data)
Understanding of optimization techniques and handling large-scale training data
Technical Domain Knowledge:
Understanding of graph theory and network analysis
Experience with data structures and graph representations (adjacency matrices, edge lists, sparse tensors)
Knowledge of hyperparameter tuning, model building and uncertainty quantification in ML models
Nice to have
Background in petroleum engineering, process engineering, or fluid dynamics
Familiarity with reservoir simulation or pipeline hydraulics
Experience with MLOps practices and model lifecycle management
Publications or open-source contributions in graph ML
Experience deploying ML models in production cloud environments (containerization, API development)
Industry Experience:
Oil & gas industry experience is a strong plus, However, candidates with relevant surrogate modeling experience from other engineering domains encouraged to apply
Educational Background:
MS/PhD in Computer Science, Computational Engineering, Applied Mathematics, or related field preferred
Strong mathematical foundation in linear algebra, graph theory, and numerical methods
Understanding of graph theory and network analysis

Location - pune,mumbai,chennai,banagalore
Job Classification
Industry: Legal
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Luxoft
Location(s): Mumbai

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[Full Time] Machine Learning Engineer at Luxoft

Mon, 16 Feb 2026 12:00:00 +0530

Job Description
Project description
We are seeking a skilled and domain-expert Machine Learning Engineer to develop and deploy data-driven solutions in the context of Digital Oilfield (DOF) systems. The ideal candidate will have a strong foundation in machine learning, model development, and data analytics, with the ability to apply these skills to subsurface and production engineering workflows.This is a hands-on technical role focused on building ML models that enhance forecasting, optimization, and operational decision-making across complex oilfield environments. Experience with agent-based or generative AI systems is a bonus, but not a requirement.
Responsibilities
Develop and maintain machine learning models tailored to oilfield data and engineering processes.
Work closely with domain experts to understand workflows and identify ML opportunities across production, reservoir, and facility systems.
Build, train, and deploy models for time series prediction, classification, anomaly detection, or clustering using structured and semi-structured data.
Validate model accuracy and performance in real-world operational settings.
Collaborate with software teams to integrate models into DOF platforms or dashboards.
(Optional but valued) Explore the use of LLMs or agentic AI to support technical queries or enhance interaction with data systems.
business trip to Kuwait
Skills
Must have
Strong background in machine learning, data modeling, and applied statistics.
Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Familiarity with oilfield datasets, including production data, sensor logs, simulation outputs, or engineering inputs.
Understanding of the challenges and context of oil & gas workflows, even if not from direct experience.
Ability to collaborate with geoscientists, production engineers, or field operations teams to co-design effective models.
Nice to have
Experience working with or developing for Digital Oilfield systems (DOF platforms, custom solutions, or commercial tools).
Exposure to cloud platforms such as Azure (preferred) or AWS.
Familiarity with Agentic AI frameworks (LangChain, CrewAI, AutoGen), or LLMs as a support layer in technical environments.
Knowledge of MLOps practices or tools (e.g., MLflow, Airflow, or model deployment pipelines).
Certifications:
Azure Data Engineer or AI Engineer certifications are a plus, especially for roles involving cloud-based deployment.
AWS experience is appreciated but not mandatory
Location - bangalore.
Job Classification
Industry: Legal
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Luxoft
Location(s): Mumbai

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[Full Time] AI ML Architect at Tata Consultancy

Sun, 15 Feb 2026 12:00:00 +0530

Job Description
Role: AI ML Architect

Required Technical Skill Set: Python/Java, Machine Learning, Deep Learning, Natural Language Processing, Data Science and Analytics

Desired Experience Range: 7-12 years

Location of Requirement: Delhi/Noida

Desired Competencies (Technical/Behavioral Competency)

Must-Have

10+ years of IT experience
Strong Solutioning & Debugging Skills
Strong programming skills in Python
Expertise in machine learning is a must. In depth knowledge of various machine learning models and techniques; deep learning, supervised and unsupervised learning, natural language processing, and reinforcement learning.
Expertise in data analysis and visualization to extract insights from large datasets and transmit them virtually. Good knowledge on data mining, statistical methods, data wrangling, and visualization tools like Power BI, Tableau and matplotlib.
Expertise in various machine learning frameworks - TensorFlow, Scikit-Learn and PyTorch.
Experience in Containers (Docker), Kubernetes, Kafka (or other messaging platform), Apache Camel, RabbitMQ, Active MQ, Storage / RDBMS and No-SQL databases etc..
Time Series Modelling
Computer Vision

Good-to-Have

Gen AI Certified / AI Certified Solution Architect
Experience supporting RFI/RFP activities
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Noida, Gurugram

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[Full Time] Data Scientist at Tata Consultancy

Sun, 15 Feb 2026 12:00:00 +0530

Job Description
Data Scientist

Locations: Bengaluru, Chennai
Experience Required: 49 Years
Job Type: FullTime

Mode: Office / Hybrid (as per company policy)

Job Description
We are looking for an experienced Data Scientist to join our analytics team. The ideal candidate will work on diverse datasets, build predictive models, and collaborate with crossfunctional teams to deliver datadriven solutions that support business decisionmaking.

Key Responsibilities
Data Collection & Cleaning

Gather large volumes of structured and unstructured data from multiple internal and external sources.
Ensure data quality, consistency, and integrity through preprocessing, validation, and cleansing.

Exploratory Data Analysis (EDA)

Analyze datasets to identify patterns, trends, anomalies, and insights.
Use statistical methods and visualizations to support deeper understanding of business problems.

Model Development

Design and implement predictive and prescriptive models using machine learning and statistical techniques.
Evaluate model performance and improve accuracy using optimization and finetuning techniques.

Data Visualization & Reporting

Create dashboards, reports, and data stories for technical and nontechnical stakeholders.
Present actionable insights using tools like Power BI, Tableau, Python visualizations, etc.

Collaboration

Work closely with business leaders, data engineers, software developers, and other teams to deploy datadriven solutions.
Translate business requirements into analytical solutions.
Required Skills

Strong experience with Python or R, machine learning libraries (scikitlearn, TensorFlow, PyTorch).
Handson experience with SQL, data pipelines, and ETL processes.
Understanding of statistical techniques, hypothesis testing, and model evaluation.
Ability to interpret data and communicate insights effectively.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Chennai

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[Full Time] Principal GenAI Engineer at HCLTech

Sat, 14 Feb 2026 12:00:00 +0530

Job Description

Role & responsibilities :

Principal GenAI Engineer
A Principal GenAI Engineer leads the design, development, and implementation of artificial intelligence solutions that address specific business problems. Individuals in this role have extensive experience with machine learning models, natural language processing, computer vision, or other AI technologies. They collaborate closely with data scientists, data engineers, and cloud engineers to deliver AI solutions that drive business value.

Key Tasks & Responsibilities
1) Deep Learning & Transformer Architecture
a) Develop a solid understanding of neural networks and their applications in various AI tasks.
b) Design and implement transformer architectures for diverse applications, including natural language processing (NLP) and computer vision.
c) Explore and experiment with multi-modal diffusion architectures as a good-to-have component.

2) LLM Development & Implementation
a) Build and fine-tune large language models (LLMs) for specific use cases, including document comparison, chunking, and retrieval-augmented generation (RAG).
b) Develop and enhance chatbot and NLP-based applications to improve user interactions and experiences.
c) Integrate embedding models with vector databases, utilizing tools such as FAISS, Pinecone, and AWS OpenSearch.

3) Multi-Agent & Rules-Based AI Implementation
a) Implement rules-based AI logic within applications to enhance decision-making processes.
b) Develop and orchestrate multi-agent AI systems to solve complex problems efficiently.
c) Utilize frameworks like LangChain, LangGraph, and LlamaIndex (GPT Index) to create and manage workflows that chain multiple LLMs together.

4) AI Tools & Libraries
a) Leverage AWS AI services, such as Amazon Bedrock and SageMaker, to build and deploy AI solutions.
b) Utilize libraries and APIs from Hugging Face and OpenAI to enhance model capabilities and performance.

5) Cloud & DevOps (AWS Focused)
a) Deploy AI models using AWS services like Fargate, EKS, and ECS, ensuring scalability and reliability.
b) Implement continuous integration and continuous deployment (CI/CD) pipelines for AI models using AWS CodeBuild, CodePipeline, and Lambda Functions.
c) Work with containerized AI services using Docker and Kubernetes to streamline development and deployment processes.

6)Model Deployment & API Integration
a) Demonstrate hands-on Python experience by delivering at least two AI projects from inception to production.
b) Develop and integrate APIs (REST APIs, GraphQL, AWS API Gateway) to facilitate communication between AI models and applications.
c) Reuse and customize GitHub-based AI repositories, adapting them for production use and ensuring high-quality code standards.

Preferred candidate profile

Qualifications & Competencies

Required:

Bachelors or Masters degree in Computer Science, Data Science, or a related field.
8+ years of experience in AI / MI roles with the required skills.
Basics of Deep Learning Transformer Architecture
Understanding of Neural Networks
Transformer Architecture and Applications
MultiModal Diffusion Architecture (Good to have)

LLM Development & Implementation
Hands-on experience in building and fine-tuning LLMs for:
Document comparison & chunking
Retrieval-Augmented Generation (RAG)
Chatbot & NLP-based applications
Experience in embedding models and vector database integration (FAISS, Pinecone, AWS OpenSearch).

Multi-Agent & Rules-Based AI Implementation
Implementing rules-based AI logic in applications.
Developing multi-agent AI systems with orchestration.
Hands-on with LangChain, LangGraph, LlamaIndex (GPT Index) for chaining multiple LLM workflows.

AI Tools & Libraries
Strong knowledge of AWS AI Services:
Amazon Bedrock, SageMaker etc
Hands-on with Hugging Face, OpenAI API, GPT models.

Cloud & DevOps (AWS Focused)
Deploying AI models using AWS Fargate, EKS, ECS.
Implementing CI/CD for AI models using AWS CodeBuild, CodePipeline, Lambda Functions.
Experience in containerized AI services using Docker & Kubernetes.

Model Deployment & API Integration
Hands-on Python experience with at least two delivered AI projects.
API development and integration: REST APIs, GraphQL, AWS API Gateway.
Reusing and customizing GitHub-based AI repositories for production use.

Preferred:
Relevant certifications in AI (e.g., AWS Certified Cloud / AI practitioner, Azure Fundamentals)
Experience with multi-modal architectures and advanced AI techniques.
Knowledge of AI ethics and governance practices.
Familiarity with Agile methodologies and project management tools.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: HCLTech
Location(s): Noida, Gurugram

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[Full Time] Delivery Lead (vertex Ai) - 12-16yrs - Pan India at Capgemini

Fri, 13 Feb 2026 12:00:00 +0530

Job Description

Technical Experience
2+ years of hands-on experience with Google CES and Vertex AI in designing or implementing enterprise-grade solutions.
Proven experience deploying and integrating Dialogflow / Vertex AI conversational AI solutions into production systems.
Minimum 2 years working with Google Cloud Platform (GCP)including Cloud Runor equivalent hyperscalers (Azure/AWS).
Strong development background in Java or Python with 3tier enterprise application design exposure.
Experience with data analysis using SQL or equivalent tools.
Leadership & Delivery
Demonstrated success as a Delivery Lead, managing multi-stakeholder engagements and ensuring timely, high-quality deliverables.
Hands-on experience leading an agile development team of 8+ engineers across onshore/offshore models.
Strong communication, stakeholder engagement, and problemsolving skills.
Preferred candidate profile
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] Data Science Analyst at Tata Consultancy

Fri, 13 Feb 2026 12:00:00 +0530

Job Description
Experience: 5-10 years of experience in data science, analytics, or a related field. Experience leading projects or teams is often required.
Technical Skills:
Programming Languages: Advanced proficiency in Python, R, or SQL.
Machine Learning: Deep knowledge of a wide range of ML techniques and their practical applications and limitations (e.g., clustering, neural networks).
Statistics: Strong grasp of advanced statistical concepts and their real-world application.
Cloud Platforms: Hands-on experience with one or more major cloud platforms like AWS, Azure, or GCP, including their analytics services.
Soft Skills:
Excellent communication and presentation skills to explain complex results to both technical and non-technical audiences.
Strong problem-solving and critical thinking abilities.
Ability to work in a dynamic, team-oriented environment.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Kolkata

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[Full Time] Data Science - Senior Data Scientist (Deep Learner) at Paytm

Thu, 12 Feb 2026 12:00:00 +0530

Job Description
About the Role

We're seeking Big & Deep Learners to join our pioneering team developing Paytm Large Model (PLM), a foundation model for digital payment intelligence.

You'll be at the forefront of :

Building and tweaking big transformer architectures on big data of payment and other activities (onboarding, login, order, invest, )

Build Encoder to create embeddings that capture the DNA of payment ecosystems

Further build Decoder or Autoregressive Generative model for behavioural prediction/detectionDo whatever it takes to enrich and use the model for downstream applications : IFT/DPO/RPO.

Key Responsibilities-

Design and develop large-scale foundation models for learning from payment transactions, user behavior, merchant patterns etc

Create sophisticated encoder architecture to generate embeddings that capture nuanced relationships in financial data

Build decoder only model as well for generative downstream tasks

Build and optimize training pipelines for processing billions of payment transactions

Develop evaluation frameworks for measuring model performance across multiple financial use cases

Implement fine

tuning mechanisms for model adaptation across different payment environments

Collaborate with MLOps team for production deployment and scaling

Research and implement latest advances in foundation models and their applications to financial data

Make the model wiser everyday by enriching it through state of the art IFT, DPO, PPO .

Required Qualifications-

Solid in 3 pillars of learning from data : Optimization, Statistics and Linear Algebra

Ph.D. or Master's degree in Deep Learning or related field

Strong track record in building and deploying foundation models, preferably on non text/image data such as time series, temporal point process or in general, numerical vector sequences

Deep understanding of transformer architectures and their variations

Expertise in PyTorch or TensorFlow for large

scale model development

Experience with distributed training systems and optimization techniques

Strong programming skills in Python and ML deployment frameworks

Must be good in data structures and algorithms

Understanding of payment systems and financial data structures

Preferred Experience-

Previous work with financial or transaction data

Experience with large encoder/decoder models and representation learning

Knowledge of privacy

preserving ML techniques

Background in self

supervised learning approaches

Familiarity with MLOps and production deployment of large models

Experience with model compression and optimization techniques

Working knowledge on Knowledge Graph representation learning using Graph Neural Network (GraphSage/GAT/Graph Transformer ..) is a plus

Technical Skills-

Languages: Python, PySpark, SQL- Frameworks: PyTorch/TensorFlow, Hugging Face- Infrastructure: Cloud platforms (AWS/GCP), distributed training systems- Tools: Git, Docker, ML experiment tracking platforms- Processing: Spark, distributed computing

Soft Skills-

Strong research orientation with practical implementation skills- Ability to translate complex technical concepts to business stakeholders- Excellence in technical writing and documentation- Collaborative mindset for cross-functional team projects

Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Paytm
Location(s): Bengaluru

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[Full Time] Data Science - Senior Data Scientist (Voice + Text) at Paytm

Thu, 12 Feb 2026 12:00:00 +0530

Job Description
About the Role:
We are looking for an experienced AI Conversational Engineer with strong expertise in real-time voice systems, Reinforcement Learning (RL)based model alignment, and custom LLM orchestration using PipeCat.
You will architect and optimize end-to-end conversational pipelines from Speech-to-Text and Text-to-Speech systems to SLM reinforcement and multi-agent orchestration ensuring low-latency, high-accuracy interactions at scale.
Core Engineering Responsibilities
1. Real-Time Conversational Systems
A. Design and build low-latency, high-concurrency conversational systems for both voice and text.
B. Integrate STT, TTS, and LLM/SLM components into unified, real-time architectures.
C. Develop and maintain PipeCat-based orchestration pipelines for multi-agent conversational flows.
D. Engineer robust streaming APIs and telephony integrations (VoIP/SIP).
2. Reinforcement Learning and Model Fine-Tuning
A. Fine-tune Small Language Models (SLMs) using Supervised Fine-Tuning (SFT) and RL (DPO, PPO) for alignment and personality control.
B. Design reward models to guide tone, factual accuracy, and conversational flow.
C. Build RL feedback loops for continuous model refinement based on user interactions.
3. Voice Synthesis and Adaptation
A. Develop high-quality ASR and TTS models for expressive, natural-sounding speech generation.
B. Apply speaker adaptation and voice cloning techniques for personalization.
C. Utilize Diffusion- or HiFi-GANbased vocoders for high-fidelity audio generation.
D. Engineer robust handling of sampling frequency, audio fidelity, and streaming performance.
4. Infrastructure, Serving, and Deployment
A. Build containerized inference microservices using Docker and Kubernetes.
B. Deploy Ray Servebased endpoints for distributed, dynamically batched inference.
C. Implement autoscaling, monitoring, and observability for production-grade systems.
D. Optimize serving for latency, throughput, and fault tolerance.
5. Guardrails, Security, and Reliability
A. Implement guardrail frameworks to protect against prompt injection, jailbreaks, and unsafe outputs.
B. Develop input sanitizers, content filters, and boundary-check mechanisms.
C. Maintain secure integrations with authenticated APIs and external toolchains.
D. Enable traceability through conversation logging, replay, and audit pipelines.
What We're Looking For:
3+ years in AI conversational systems or RL-driven model architectures.
Languages & Frameworks: Python, PyTorch, TensorFlow.
Core Expertise:
1) RL-based model alignment (SFT, PPO, DPO)
2) ASR/TTS pipeline design and optimization
3) Transformer architecture and optimization
4) Ray Serve + Kubernetes deployment
5) Secure orchestration using PipeCat
6) Programming & Engineering
Foundational Knowledge: Optimization, Statistics, and Linear Algebra.
Why You Should Join Us:
1) Opportunity to work on cutting-edge LLM infrastructure and automation in fintech.
2) High-impact role shaping the future of intelligent systems at Paytm.
3) Access to large-scale computing resources and datasets.
4) A collaborative, research-driven development environment.
5) Competitive compensation and benefits.
6) Opportunities for professional development and attending leading AI conferences.
Preferred Qualifications:
Bachelor's/Master's Degree in Computer Science or equivalent
Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers merchants and we are committed to it. Indias largest digital lending story is brewing here. It is your opportunity to be a part of the story!
Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Paytm
Location(s): Bengaluru

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[Full Time] Manager - Data Science at Axtria

Thu, 12 Feb 2026 12:00:00 +0530

Job Description

Your Responsibilities includes but not limited.
Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT
Software development experience in python is needed as backend for UI based applications
Be a part of large delivery teams working on advanced projects when expert assistance is required.
Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production.
Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms
Can interact with client on GenAI related capabilities and use cases

Must have
Skills:

Minimum of 5-6 years develop, test, and deploy Python based applications on Azure/AWS platforms
Must have basic knowledge on concepts of Generative AI / LLMs / GPT
Deep understanding of architecture and work experience on Web Technologies
Python, SQL hands-on experience
Expertise in any popular python web frameworks e.g. flask, Django etc.
Familiarity with frontend technologies like HTML, JavaScript, REACT
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Axtria
Location(s): Noida, Gurugram

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[Full Time] Data Science Professional at CGI

Wed, 11 Feb 2026 14:21:38 +0530

Job Description
Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.
Position Description: Were looking for a Senior Data Scientist with strong analytical thinking, deep technical expertise, and a proven ability to apply machine learning to solve real-world problems. The candidate should have 4+ years of high-quality proven experience in AI/ML working. Youll work with cross-functional teams to design, develop, and deploy scalable AI/ML solutions, including Generative AI, predictive modeling, and recommendation systems.
Your future duties and responsibilities:
Design, build, and validate machine learning and deep learning models, ensuring robustness, scalability, and explainability.
Apply strong statistical foundations to analyze large datasets and derive actionable insights.
Lead the development and evaluation of models using modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
Drive the adoption of Generative AI and LLM-based solutions, ensuring model alignment, prompt engineering, and ethical AI practices.
Collaborate with data engineers, product teams, and business stakeholders to transform business problems into technical solutions.
Contribute to code reviews, model documentation, and mentorship of junior data scientists.Stay abreast of the latest research and translate cutting-edge methods into production.
Statistical and Mathematical Rigoro Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).o Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.
Machine Learning & Deep Learningo Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.o Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.
Generative AI & LLMso Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.o Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.
Programming & Problem Solvingo Advanced proficiency in Python with the ability to write clean, modular, and testable code.o Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.o Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.
Tooling & Deploymento Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).o Version control (Git) and collaborative development practices.
Required qualifications to be successful in this role:Must to have skill:
Statistical and Mathematical Rigoro Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).o Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.
Machine Learning & Deep Learningo Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.o Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.
Generative AI & LLMso Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.o Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.
Programming & Problem Solvingo Advanced proficiency in Python with the ability to write clean, modular, and testable code.o Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.o Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.
Tooling & DeploymentGood to have skill:o Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).o Version control (Git) and collaborative development practices.
Skills:
English
Data Analysis
Python
Snowflake
SQLite
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: CGI
Location(s): Hyderabad

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[Full Time] Data Scientist at Iris Software

Wed, 11 Feb 2026 12:00:00 +0530

Job Description
We are hiring Data Scientist for Gurugram Location
Applied predictive and financial modelling
End-to-end delivery of business-focussed data science initiatives
Analytical problem framing including requirements gathering and solution design
Engineering and ETL experience including database modelling, data sourcing, cleansing and joining (SQL, Redshift, Spark)
Demonstrable knowledge and experience with development and deployment of Machine Learning algorithms (supervised and unsupervised) in either Python or R (both preferred)
Visualisation and communication of analytical outcomes and insights (PowerBI)
Knowledge and experience in Strategic Sourcing and Vendor Management is helpful but not essential.
7+ years experience in a similar role

Shift Time - 08:00 AM to 05:00 PM
Work mode - Work from Office - 4 days in a week
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Iris Software
Location(s): Noida, Gurugram

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[Full Time] Data Scientist at GEP

Wed, 11 Feb 2026 12:00:00 +0530

Job Description
Roles and Responsibilities :
Design and develop predictive models using machine learning algorithms to drive business outcomes.
Collaborate with cross-functional teams to integrate data science solutions into existing systems.
Develop and maintain complex databases, data pipelines, and reporting dashboards.
Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.
Job Requirements :
1-5 years of experience in a similar role or related field (data science).
Strong proficiency in Python programming language and its libraries (e.g., NumPy, Pandas).
Experience with database management systems such as MySQL or PostgreSQL.
Familiarity with cloud computing platforms like AWS or Azure.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: GEP
Location(s): Mumbai

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[Full Time] Principal Data Scientist at ADP

Wed, 11 Feb 2026 10:59:55 +0530

Job Description
ADP Private Limited. is hiring a Principal Data Scientist at Hyderabad location.

Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day? Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging?

Well, this may be the role for you!

As a Principal Data Scientist at ADP, youll be part of a team thats leading the next wave of disruption at scale, using the latest in computing and machine learning technologies and operating across millions of employee records to deliver app features that delight customers with personalized experiences. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI technologies. This role requires deep expertise in machine learning and data science.

WHAT YOU'LL DO:

Set technical direction for AI/ML initiatives and partner with product and engineering leaders to define and execute data science strategy.

Build, deploy, and scale machine learning models (including NLP, LLMs, and Generative AI) to power user-facing features.

Be the expert in GenAI to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.

Partner with engineering teams to integrate them into applications and services and operationalize them in scalable and resilient production systems that serve millions of users.

Leverage a broad stack of technologies to reveal the insights hidden within huge volumes of structured and unstructured data.

Champion best practices in MLOps, data quality, and experimentation.

Work in close collaboration with leadership to assemble a world-class team.

Mentor a team of data scientists and ML engineers, fostering a collaborative, innovative, and inclusive environment.

Continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights.

TO SUCCEED IN THIS ROLE, YOU WILL HAVE:

Master's degree or PhD in Computer Science, Applied Mathematics, Statistics, or quantitative field with 10+ years experience in Data Science is required.

Expert level proficiency in Python and SQL.

Strong experience with machine learning libraries (scikit-learn, PyTorch, or similar)

Strong experience with distributed computing and cloud platforms (Databricks, AWS, or similar).

Demonstrated experience taking models from concept to production at scale

Experience with technical storytelling and customer-facing project demos.

Expertise in NLP, LLMs, or Generative AI

Proven success in mentoring, and developing technical teams.

Ability to influence technical strategy and drive adoption of new technologies.

Strong communication skills able to convey complex concepts to technical and non-technical stakeholders.

Strategic thinking to connect data science initiatives to business outcomes.

YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:

Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to find the best solution.

Deliver at an epic scale. We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity.

Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.

Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.

Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation.

Join a company committed to equality and equity. Our goal is to impact lasting change through our actions.

A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging. ADP has a deep commitment to diversity, equity, and inclusion as a global Best Places to Work, DiversityInc Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: ADP
Location(s): Hyderabad

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[Full Time] AI/ML Developer at Tech Mahindra

Wed, 11 Feb 2026 10:43:51 +0530

Job Description
Role: - AI/ML Developer
Location: - Pune ll Noida ll Bangalore ll Hyderabad ll Chennai
Employment Type: - Full time

Experience Required: - 6+ years

Job Overview:
Seeking an experienced Python Developer specialized in API development and Natural Language Processing (NLP) or Artificial Intelligence (AI). The role involves designing, developing, and maintaining efficient, scalable APIs and implementing cutting-edge NLP/AI algorithms and models to solve real-world problems. The ideal candidate will work collaboratively with cross-functional teams to create innovative software solutions enhancing user experience and automation.
Key Responsibilities:
Develop, test, and maintain scalable Python applications and RESTful APIs.
Design and implement NLP models and AI algorithms for text processing, speech recognition, chatbot integration, sentiment analysis, or other language understanding tasks.
Work on data preprocessing, feature extraction, and model training using machine learning frameworks.
Integrate AI/NLP models into production environments via APIs.
Analyze large datasets to improve model accuracy and application performance.
Maintain code quality through best practices, version control (Git), and documentation.
Stay updated with the latest developments in AI, NLP, and software technology.
Required Skills:
Strong proficiency in Python programming and API development.
Experience with NLP libraries such as NLTK, SpaCy, or transformers.
Familiarity with machine learning and deep learning frameworks like TensorFlow, Keras, or PyTorch.
Knowledge of NLP techniques including semantic extraction, text classification, and language modeling.
Hands-on experience in designing and consuming RESTful APIs.
Good problem-solving, analytical, and communication skills.
Preferred Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or related fields.
Experience with version control systems like Git.
Knowledge of containerization tools such as Docker and Kubernetes.
Previous experience working in multilingual and multimodal NLP environments
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Tech Mahindra
Location(s): Hyderabad

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[Full Time] Data Science - Data Scientist at Paytm

Wed, 11 Feb 2026 10:40:17 +0530

Job Description
Position Summary:
We are seeking a highly skilled and experiencedDataScientistwho will build and own machine learning models with the end goal of mitigating risk across merchant and user journey while enhancing growth across different segments of our business.
You will work on developing classical machine learning as well deep learning models for Risk (fraud, credit and operational risk) use cases as well as building in-house foundation models for learning representation of entities like customers, merchants, devices etc. in our ecosystem. In this role you will work with a talented engineering anddatascienceteam to build and deploy models at scale. You will have the opportunity to apply and improvise over the latest breakthroughs in AI research from industry and academia and bring them into life with ourdataproduct offerings.
What does this include
Design, build, evaluate and maintain ML/DL models to detect various types of risk mitigation problems while improving end user experience
Collaborate with product and analytics partners for business to ML problem formulation and align on key deliverables
End-to-end management of the entire lifecycle of the machine learning or deep learning project, from identifying objectives and preparingdatato testing and validating models, calibrating them, monitoring and feedback loop.
Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
Requirements:
Have developed and deployed ML models at scale
Real time feature engineering pipeline and model development is a plus
Knowledge of classical ML models for classification and regression. Should have developed and deployed one such model from scratch. Know the trade off between choosing the techniques
Working knowledge on Sequential Neural Network and Knowledge Graph representation learning using Graph Neural Network is a plus
Excellent understanding of ML/DL frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (scikit-learn, etc.).
Excellent understanding of computersciencefundamentals,datastructures, and algorithms. Should have familiarity with object-oriented design methodology and application development in Python.
Familiar with BigDatarelated technologies to manage large volumes of complexdata(SQL, pyspark). Knowledge of Scala is a plus
Passion to learn and build quick POCs with state-of-the-art ML/DL algorithms.
Challenging the norm, creative thinking, collaboration
Working experience of fraud risk is plus
BS in ComputerScienceor MS inDataSciencediscipline (or equivalent).
Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Paytm
Location(s): Noida, Gurugram

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[Full Time] Principal Engineer, Agentic AI - Transforming Lending at Idexcel

Wed, 11 Feb 2026 10:03:48 +0530

Job Description
The Opportunity:
Our company is seeking a highly skilled and visionary Principal Engineer to lead the integration of Agentic AI across our suite of lending products. This is a unique opportunity to shape the future of lending by developing intelligent, autonomous agents that will redefine how lenders and borrowers interact with our platform. You will be instrumental in designing, building, and deploying AI-powered solutions that automate complex workflows, enhance decision-making, and personalize user experiences.
Responsibilities:
Architectural Leadership: Design and architect scalable, robust, and secure Agentic AI solutions across our Java, Python, Node.js, and React.js, Angular applications.
Agent Development: Lead the development of AI agents for various lending processes, including loan origination, underwriting, servicing, and customer interaction.
LLM Integration: Evaluate, integrate, and fine-tune Large Language Models (LLMs) to enable natural language understanding, generation, and complex reasoning within AI agents.
Tooling and Frameworks: Develop and implement the necessary tooling, frameworks, and infrastructure to support the development, deployment, and monitoring of AI agents.
Data Strategy: Collaborate with data science and engineering teams to define data requirements, data pipelines, and data governance strategies for training and optimizing AI agents.
Innovation and Research: Stay at the forefront of Agentic AI research and identify opportunities to apply new techniques and technologies to enhance our platform.
Mentorship and Guidance: Provide technical leadership, mentorship, and guidance to other engineers on AI/ML best practices and agentic system design.
Collaboration: Work closely with product managers, designers, and stakeholders to translate business requirements into technical solutions.1
Performance Optimization: Ensure the performance, scalability, reliability, and security of AI-driven lending solutions.
Qualifications:
Education: Bachelor's or masters degree in computer science, Artificial Intelligence, or a related field.
Experience: 10+ years of software engineering experience, with a proven track record of designing and building complex, enterprise-grade applications.
AI/ML Expertise:
Deep understanding of AI/ML principles, particularly in the area of Large Language Models (LLMs) and agentic systems.
Experience in developing and deploying AI agents using frameworks and tools.
Strong knowledge of natural language processing (NLP), machine learning, and deep learning techniques.
Technical Skills:
Proficient in programming languages such as Java, Python, Node.js, React.js, and Angular.
Experience with PostgreSQL or other relational databases.
Strong cloud computing experience, particularly with AWS.
Experience with software development best practices, including version control (Git), CI/CD, and testing.
Problem-Solving: Excellent analytical and problem-solving skills, with the ability to break down complex challenges into manageable solutions.
Communication: Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical2 audiences.
Leadership: Proven ability to provide technical leadership, mentorship, and guidance to other engineers.
Passion: A passion for innovation and a strong desire to transform the lending industry with AI.
Bonus Points:
Experience in the fintech or financial services industry.
Contributions to open-source AI/ML projects.
Research publications in the field of AI agents or LLMs.
Job Classification
Industry: Recruitment / Staffing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Idexcel
Location(s): Hyderabad

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[Full Time] Data Scientist at BCS Technology

Wed, 11 Feb 2026 09:47:41 +0530

Job Description
Objective
Use statistical analysis and predictive modelling to identify leading indicators and build forecasting models for business outcomes (e.g., revenue).
Core Skills Were Hiring For
Predictive modelling & forecasting (time-series, regression, lag-based models)
Strong statistical reasoning (leadlag analysis, incremental predictive value)
Ability to determine which variables improve predictions beyond historical trends
Model validation, comparison, and performance evaluation
Translating models into clear, business-relevant insights
What Youll Do
Identify leading indicators and their time horizons
Quantify how predictors contribute to future outcomes
Build and compare:
History-only prediction models
Indicator-driven prediction models
Recommend the most reliable forecasting approach
Technical Foundation
Python or R
Statistics, ML Modelling
Hands-on experience building and validating predictive models
What We Care About Most
Quality of reasoning over specific tools
Sound modelling choices and explainability
Ability to communicate uncertainty and confidence clearly
Deliverables
Predictive models and forecasts
Comparison of modelling approaches
Clear recommendation on model usage
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: BCS Technology
Location(s): Noida, Gurugram

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[Full Time] Senior Staff Data Engineer at Tata Consultancy

Wed, 11 Feb 2026 06:50:18 +0530

Job Description
Sr. Staff Data Engineer (or) Sr. Staff Product Development Engineer
Experience Range: 07 - 11 years
Location: Bengaluru, India
Required Education, Experience/Skills/Training:

Experience with: Spark, Flink (or Spark Streaming), Airflow, Databricks, Scala (or Java), Python, AWS Big Data Technologies, Agile project management

Basic Qualifications
7+ years of professional programming and design experience in Scala, Java, Python etc.
5+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka and AWS big data technologies
Strong knowledge of system / application design and architecture
Experience of building industry level high available and scalable service
Experience with processing large amount of data at petabyte level
Architect and optimize solutions on AWS, including S3, EMR, Lambda, Glue, and other cloud-native services
Drive adoption of Databricks for collaborative development, job scheduling and performance tuning
Lead and mentor a team of data engineers through design reviews, code reviews, and hands-on technical guidance
Identify and address performance bottlenecks, data quality issues, and reliability gaps in the data ecosystem
Passionate about technologies, and openness to interdisciplinary work

Preferred Qualifications
Experience managing or mentoring a team of data engineers
Demonstrated ability with cloud infrastructure technologies, including Databricks, Terraform, K8S, Spinnaker, IAM, ALB, and etc.
Experience with Snowflake, Kinesis, lambda etc.
Experience in MicroService framework like Spring Boot, Spring Cloud, FastAPI, NestJS etc.

Required Education
Bachelor or above in computer science or or a related quantitative field; or equivalent practical experience demonstrating advanced technical expertise.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Bengaluru

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[Full Time] Data Science - Lead Data Scientist (Voice+Text) at Paytm

Wed, 11 Feb 2026 06:34:24 +0530

Job Description
About the Role:
We are looking for an experienced AI Conversational Engineer with strong expertise in real-time voice systems, Reinforcement Learning (RL)based model alignment, and custom LLM orchestration using PipeCat.
You will architect and optimize end-to-end conversational pipelines from Speech-to-Text and Text-to-Speech systems to SLM reinforcement and multi-agent orchestration ensuring low-latency, high-accuracy interactions at scale.
Core Engineering Responsibilities
1. Real-Time Conversational Systems
A. Design and build low-latency, high-concurrency conversational systems for both voice and text.
B. Integrate STT, TTS, and LLM/SLM components into unified, real-time architectures.
C. Develop and maintain PipeCat-based orchestration pipelines for multi-agent conversational flows.
D. Engineer robust streaming APIs and telephony integrations (VoIP/SIP).
2. Reinforcement Learning and Model Fine-Tuning
A. Fine-tune Small Language Models (SLMs) using Supervised Fine-Tuning (SFT) and RL (DPO, PPO) for alignment and personality control.
B. Design reward models to guide tone, factual accuracy, and conversational flow.
C. Build RL feedback loops for continuous model refinement based on user interactions.
3. Voice Synthesis and Adaptation
A. Develop high-quality ASR and TTS models for expressive, natural-sounding speech generation.
B. Apply speaker adaptation and voice cloning techniques for personalization.
C. Utilize Diffusion- or HiFi-GANbased vocoders for high-fidelity audio generation.
D. Engineer robust handling of sampling frequency, audio fidelity, and streaming performance.
4. Infrastructure, Serving, and Deployment
A. Build containerized inference microservices using Docker and Kubernetes.
B. Deploy Ray Servebased endpoints for distributed, dynamically batched inference.
C. Implement autoscaling, monitoring, and observability for production-grade systems.
D. Optimize serving for latency, throughput, and fault tolerance.
5. Guardrails, Security, and Reliability
A. Implement guardrail frameworks to protect against prompt injection, jailbreaks, and unsafe outputs.
B. Develop input sanitizers, content filters, and boundary-check mechanisms.
C. Maintain secure integrations with authenticated APIs and external toolchains.
D. Enable traceability through conversation logging, replay, and audit pipelines.
What We're Looking For:
3+ years in AI conversational systems or RL-driven model architectures.
Languages & Frameworks: Python, PyTorch, TensorFlow.
Core Expertise:
1) RL-based model alignment (SFT, PPO, DPO)
2) ASR/TTS pipeline design and optimization
3) Transformer architecture and optimization
4) Ray Serve + Kubernetes deployment
5) Secure orchestration using PipeCat
6) Programming & Engineering
Foundational Knowledge: Optimization, Statistics, and Linear Algebra.
Preferred Qualifications:
Bachelor's/Master's Degree in Computer Science or equivalent
Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Paytm
Location(s): Noida, Gurugram

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[Full Time] Microsoft Fabric Data Engineer (ms Fabric, Power Bi) at TechBlocks

Wed, 11 Feb 2026 05:24:24 +0530

Job Description
Role Overview
We are looking for an experienced Microsoft Fabric / Power BI Governance Specialist to manage and govern the Power BI and Microsoft Fabric platform at an enterprise level. This role focuses on tenant administration, workspace governance, access control, and operational oversight, ensuring secure, compliant, and scalable analytics usage across the organization.
Key Responsibilities
Power BI & Fabric Governance (Primary)
Manage Power BI and Microsoft Fabric Admin Portal settings.
Define and enforce workspace governance strategy (creation, lifecycle, environments).
Manage user access, permissions, and security models using Azure AD groups.
Implement and maintain governance controls, sharing policies, and compliance standards.
Monitor platform usage, audit logs, and capacity metrics.
Ensure adherence to enterprise data security and governance policies.
Operational Oversight
Act as the platform owner for Power BI & Fabric.
Support onboarding of teams and users.
Troubleshoot access, refresh, and permission-related issues.
Collaborate with security, data engineering, and business teams.
Required Skills & Experience
Strong hands-on experience as Power BI Admin / Fabric Admin.
Deep understanding of:
Admin portal configurations
Workspace management
User access & permission models
Experience with enterprise governance frameworks for analytics platforms.
Working knowledge of Microsoft Fabric components (not deep engineering).
Location: Ahmedabad / Hyderabad (Remote is also an option)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: TechBlocks
Location(s): Hyderabad

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[Full Time] Manager, AI/ML Engineer at Pfizer

Wed, 11 Feb 2026 05:22:52 +0530

Job Description
ROLE SUMMARY

The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA works in tight collaboration with various Pfizer functions to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes.

As a AI engineer in the newly formed AIA team, you will design, build and deploy AI agents that automate workflows, enhance decision-making, and enable intelligent user interactions across the enterprise. This role will focus on integrating multi-agent frameworks and ensuring scalable, ethical, and high-performance agent-based systems.

Agentic AI & LLM development

Design, build and optimize LLM-driven agents, multi agent systems and autonomous AI workflows

Develop domain-specific toolkits, prompt pipeline and agent orchestration logic

Implement safety, guardrails, fallback patterns and hallucination control strategies

RAG & Knowledge Creation

Architect and implement retrieval-augmented generation pipelines with embeddings, vector search and metadata filtering

Work closely with data engineering to build semantic layers, knowledge graphs and ontology aligned datasets

Fine-tune and adapt LLMs using domain-specific knowledge while ensuring compliance

Model Engineering & MLOps/LLMOps

Develop and tune ML/LLM models

Build robust model pipelines for training, evaluation, deployment and monitoring

Implements LLMOps practices-lineage, versioning, bias/hallucination evaluation, prompt testing and runtime monitoring

Integration and Application Development

Develop APIs, microservices and agent endpoints for enterprise integration

Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous delivery.

Ensure code quality, testing, and maintainability through best development practices. .

Continuously optimize performance and cost efficiency of AI systems.

Collaboration & Innovation

Partner with Business Translators, UI/UX, and Change Management teams to translate needs into deployable AI solutions.

Evaluate new technologies and frameworks that enhance automation or predictive insights.

Drive innovation through hackathons, proof-of-concepts, and partnerships with vendors.

Promote a culture of responsible AI, ethics, and compliance

BASIC QUALIFICATIONS

Bachelor s degree in Computer Science, Engineering, or related field.

5+ years of relevant experience in AI, software, or data development.

Experience with agentic orchestration frameworks (e.g. Langchain), Vector databases (e.g. pinecone), embedding models, RAG architecture, and LLM principles.

Proven leadership in managing technical teams and delivering enterprise-scale projects.

Strong knowledge of agile methodologies and DevOps practices.

Preferred Qualifications:

Master s degree or PhD in Computer Science, Data Science, or related field.

Experience in pharmaceutical or healthcare technology environments.

Familiarity with compliance standards such as GxP, HIPAA, and data privacy regulations.

Demonstrated success in deploying AI or ML solutions in production environments.

Understanding of commercial analytics, medical content and scientific knowledge workflows

Familiarity with prompt evaluation frameworks

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Marketing and Market Research
Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Mumbai

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[Full Time] Python Data Science & AI Intern at Info Edge

Wed, 11 Feb 2026 03:46:23 +0530

Job Description
Role Overview
We are seeking a motivated Python Data Science & AI Intern to join our technical content team. This internship offers hands-on exposure to AI, Machine Learning, Natural Language Processing, Data Science, and Backend Development. The selected candidate will contribute to creating high-complexity, end-to-end projects for our B2B clients and gain practical experience in solving real-life problems using AI and ML techniques.Key Responsibilities
Design and develop real-world projects and coding challenges for technical assessments
in Python, AI, ML, and NLP.
Build Jupyter Notebook problems covering Machine Learning algorithms and
data-driven scenarios.
Perform Exploratory Data Analysis (EDA) and prepare datasets for project creation.
Work on backend development tasks using Django (Python 3.8.10).
Write and validate SQL queries for multiple databases (MySQL, MS SQL, Oracle,
PostgreSQL). (Database knowledge is a plus)
Provide technical support by handling client and candidate queries related to
assessments.
Ensure technical accuracy, quality, and clarity in all developed problems and solutions.
Required Skills & Qualifications
Strong proficiency in Python programming (mandatory).
Knowledge of Data Structures, Algorithms, and Django framework.
Practical understanding of AI, Machine Learning, NLP, and EDA techniques.
Experience with ML libraries such as NumPy, Pandas, Matplotlib, Scikit-learn,
TensorFlow, or PyTorch.
Basic ability to write SQL queries across multiple databases.
Good analytical, problem-solving, and communication skills.
Tech Stack Exposure
Backend: Django (Python)
Programming Languages: Python 2 & 3
Databases: MySQL, MS SQL, Oracle, PostgreSQL
Data Science Tools: Jupyter Notebooks, ML, AI, NLP, EDA

Benefits & Learning Opportunities
Opportunity to build high-complexity, end-to-end projects for global B2B clients.
Learn to solve real-world problems using AI, ML, and Data Science.
Gain practical experience in backend and database-driven project development.
Mentorship from experienced engineers and data scientists within the InfoEdge Group.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Info Edge
Location(s): Bengaluru

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[Full Time] Data Science - Lead at Iris Software

Wed, 11 Feb 2026 03:07:02 +0530

Job Description
Key Responsibilities:
Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration.
Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring.
Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, and throughput.
Required Qualifications:
Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field
5+ years of experience in a data science, ML engineering, or software engineering role
Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch
Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI
Solid understanding of data structures, algorithms, and software engineering best practices
Experience working with databases (SQL, NoSQL) and data lakes (eg
, Delta Lake, Big Query)
Preferred Qualifications: Experience with containerization and orchestration (Docker, Kubernetes)
Experience working in Agile or cross-functional teams
Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink)
Soft Skills:
Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team.
Passion for data and a curiosity-driven mindset.
Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Data Science and Machine Learning - Data Science and Machine Learning - Python
Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
Programming Language - Python - Panda
Database - Database Programming - SQL
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)
Beh - Communication and collaboration
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Iris Software
Location(s): Noida, Gurugram

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[Full Time] Manager - Data Science at Axtria

Wed, 11 Feb 2026 02:13:11 +0530

Job Description

Your Responsibilities includes but not limited.
Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT
Software development experience in python is needed as backend for UI based applications
Be a part of large delivery teams working on advanced projects when expert assistance is required.
Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production.
Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms
Can interact with client on GenAI related capabilities and use cases

Must have
Skills:

Minimum of 5-6 years develop, test, and deploy Python based applications on Azure/AWS platforms
Must have basic knowledge on concepts of Generative AI / LLMs / GPT
Deep understanding of architecture and work experience on Web Technologies
Python, SQL hands-on experience
Expertise in any popular python web frameworks e.g. flask, Django etc.
Familiarity with frontend technologies like HTML, JavaScript, REACT
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Axtria
Location(s): Noida, Gurugram

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[Full Time] AI/ML Developer at Quest Global

Wed, 11 Feb 2026 00:06:03 +0530

Job Description
Role & responsibilities
Strong proficiency in Python (knowledge of C++ is a plus).
Solid understanding of statistics, linear algebra, and probability behind ML.
Hands-on experience with NumPy, SciPy, Pandas, scikit-learn.
Experience of implementing ML algorithms with clear understanding of underlying concepts.
Knowledge of neural networks, including CNNs and LSTMs, with ability to code models.
Good understanding of OOP.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Quest Global
Location(s): Chennai

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[Full Time] Senior Data Scientist/ Data Science Manager at Tredence

Mon, 09 Feb 2026 12:00:00 +0530

Job Description
In this role, you will build and scale the data science engine that fortifies Trust & Safety. This role focuses on designing Live-specific trust policies, real-time multi-modal moderation systems, and buyer/transaction risk frameworks to reduce UPI/BBE while enforcing seller standards across categories and markets.
You will partner closely with Product, Engineering, Payments, and Business Units, and deliver executive-ready Steerco metrics and dashboards that guide strategic decisions. This is a hands-on leadership role requiring strong analytical depth, applied ML expertise, and the ability to translate complex risk trade-offs into clear business outcomes.

Key Responsibilities
Define Live-specific trust policies and seller standards, instrument compliance monitoring and create investigation playbooks for UPIs and cancellations by ticket value
Partner with Product, BU, Engineering, and Payments teams on policy enforcement, remediation, and seller accountability
Build buyer and transaction risk scoring systems beyond rules to proactively manage UPI and chargeback risk, especially in high-ASP Live flows
Design guardrails and run experiments to reduce UPI/BBE while protecting genuine buyers, balancing trust and conversion
Define clear trust metrics (e.g., UPI rate, BBE, false SNAD) with thresholds, review checkpoints, and quality checks
Build leadership dashboards and scorecards with key leading and lagging indicators across markets and categories and automate regular reporting
Conduct causal and experimental studies on payment product and policy changes to quantify lift, risk trade-offs, and buyer impact
Design and deploy real-time moderation models for chat, audio, and video, with defined quality metrics.

Qualifications
9+ years of experience in Analytics / Data Science, with strong exposure to Trust & Safety, Risk, Fraud, or Marketplace Integrity.
Proven expertise in advanced analytics, causal inference, and experimentation design
Hands-on experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains
Strong proficiency in SQL and Python, with experience in data for real-time and streaming data
Experience building executive-ready dashboards and BI reporting for large-scale programs
Solid understanding of marketplace economics, trust policies, and payments risk, with sound judgment to balance protection and growth
Excellent problem-solving, communication, and stakeholder management skills

Preferred Skills
Experience with real-time systems and different data formats (text, audio, video)
Strong product sense for buyer and seller tools, trust programs, and enforcement workflows
Ability to operate frameworks and drive measurable impact quickly at scale
Effectively communicate insights and recommendations to senior leadersh
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Tredence
Location(s): Hyderabad

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[Full Time] Senior Generative AI Engineer at ADP

Mon, 09 Feb 2026 12:00:00 +0530

Job Description
Roles and Responsibilities :
Design, develop, and deploy generative AI models using Python and TensorFlow to solve complex business problems.
Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and processes.
Develop natural language processing algorithms for text analysis, sentiment analysis, and information extraction.
Troubleshoot issues related to model performance, data quality, and system integration.
Job Requirements :
3-6 years of experience in Generative AI engineering or a related field.
Strong proficiency in Python programming language with expertise in machine learning libraries such as scikit-learn or TensorFlow.
Experience with natural language processing techniques including NLP libraries like NLTK or spaCy.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: ADP
Location(s): Hyderabad

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[Full Time] Senior / Lead AI Engineer (Gen AI) at Cirruslabs

Mon, 09 Feb 2026 12:00:00 +0530

Job Description
Total Experience : 6 Years
Notice Period : Immediate joiner
Location : Hyderabad / Bangalore
Role & responsibilities
Core Responsibilities:
Developing End-to-end agentic workflows (LangGraph, LangChain).
Design tool integrations: APIs, SQL tools, RAG pipelines, automations.
Oversee quality, development standards, architecture decisions.
Ensures agents are scalable, safe, and enterprise-ready.
Provides hands-on leadership across development + deployment.
Experience in Cloud AI services like AWS or Azure or GCP, leveraging AI tools like Copilot/ Gemini for GCP/ Amazon Q.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Cirruslabs
Location(s): Hyderabad

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[Full Time] Data Science Manager at Taskus

Sat, 07 Feb 2026 12:00:00 +0530

Job Description
Key Responsibilities
Strategic Transformation Leadership
Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation
Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.
Process Reengineering
Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.
Cross-functional Program Execution
Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.
Capability Building & Change Management
Drive organizational maturity in digital transformation, citizen development, and AI literacy.
Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.
Required Qualifications
Bachelors degree in Engineering, Computer Science, or a related field.
8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
Strong experience in BPO-related operations viewed through a data science lens.
5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
High proficiency in Amazon SageMaker for model development and deployment.
Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.
Preferred Traits
Strategic thinker with a bias for action and problem-solving mindset.
Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
Comfortable operating in fast-paced, ambiguous, and matrixed environments
Job Classification
Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: Taskus
Location(s): Noida, Gurugram

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[Full Time] Chief Manager - Business Analytics / Data Science at Incred

Sat, 07 Feb 2026 12:00:00 +0530

Job Description
Key Responsibilities:

Designing credit underwriting strategies and customer journey for InCreds consumer lending business across multiple digital and phygital channels.
Leveraging market and customer analytics to uncover growth opportunities through city and channel expansion, alongside continuous enhancement of customer journey metrics in current channels.
Tracking credit risk performance of the portfolio, and risk diagnostics to identify levers to further reduce credit risk
Building and maintaining acquisition scorecards for new customers, as well as portfolio level behavioural scorecards for driving cross-sell business
Designing test experiments for discovering the right product market fit for new channels
This role will be a managerial role, with 2-3 business analysts reporting to the Chief Manager

Skills & Competencies:

Technical Skills:
Credit Risk Modelling, Data Modelling, and Portfolio Analytics
Python, SQL, Advanced Excel, and Data Visualization
Data Science / Big Data Analytics and exposure to machine learning techniques
Analytical Thinking & Problem-Solving Ability
Strong Oral and Written Communication Skills
Ability to work with large datasets and extract meaningful insights

Qualifications & Experience:
4-7 years of working experience in a retail lending analytics role in FinTech / NBFC / Bank
BTech from Tier 1 engineering college or equivalent
Managerial experience managing at least 1-2 junior analysts
Job Classification
Industry: NBFC (Micro Finance)
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Incred
Location(s): Mumbai

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[Full Time] Senior, Data Scientist at Walmart

Fri, 06 Feb 2026 12:00:00 +0530

Job Description
Position Summary... Job Summary
As a Senior Data Scientist, youll have the opportunity to
Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
Build and train statistical models and machine learning algorithms for replication for future projects
Communicate recommendations to business partners and influence future plans based on insights

What youll do...
About the team

International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop.

What You ll Do

Play a key role to solve complex problems, pivotal to Walmart s business and drive actionable insights from petabytes of data

Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping

Demonstrate an incremental solution approach with the agility and flexibility to address practical challenges.

Lead small teams and act as the technical lead within data science project teams.

Partner with senior team members to assess customer needs and define business problems

Clearly articulate and present recommendations to business partners, and influence future plans based on insights

Partner and engage with associates in other regions for delivering best services to the customers around the globe

Work with customer centric mindset to deliver high quality business driven analytic solution

Mentor peers and data scientists across the division in data science best practices

Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving

Promote and support company policies, procedures, mission, values, and standards of ethics and integrity

What You ll bring

Bachelors with > 7 years /Masters > 5 years /Ph.D. in Comp Science / Statistics / Mathematics / Quantitative discipline with > 3 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.

Experience in analyzing complex problems and translate it into data science algorithms

Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms

Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling

Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data

Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.

Lead role mentoring multiple Jr. Data Scientists on approach and results.

Strong Experience in Python, PySpark

Google Cloud platform, Vertex AI, Kubeflow, model deployment

Strong Experience with big data platforms Hadoop (Hive, Map Reduce, Scala)

Additional Preferred Qualifications:

Domain Knowledge of one or more divisions in Retail, preferably in Sourcing domain

Published papers or given talks in leading academic and research journals

Published papers or given talks in Data Science Forums

Hold data science related patents

Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, HQL) / Spark

Experience in deep learning and worked in TensorFlow and Torch

Experience with GPU/CUDA for computational efficiency

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Walmart s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.

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Minimum Qualifications...

Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field.

Preferred Qualifications...

Primary Location... BLOCK- 2, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1P, OUTER RING ROAD KADUBEESANAHALLI, , India
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Walmart
Location(s): Bengaluru

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[Full Time] Senior, Data Scientist at Walmart

Fri, 06 Feb 2026 12:00:00 +0530

Job Description
Position Summary... What youll do...
About Team

International Technology - data science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop.

The AI community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

What You ll do

Play a key role to solve complex problems, pivotal to Walmart s business and drive actionable insights from petabytes of data

Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping

Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems

Lead small teams and participate in data science project teams by serving as the technical lead for project

Partner with senior team members to assess customer needs and define business questions

Clearly articulate and present recommendations to business partners, and influence future plans based on insights

Partner and engage with associates in other regions for delivering best services to the customers around the globe

Work with customer centric mindset to deliver high quality business driven analytic solution

Mentor peers and analysts across the division in analytical best practices

Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving

Promote and support company policies, procedures, mission, values, and standards of ethics and integrity

What youll bring

Bachelors with > 7 years of relevant experience OR Masters with > 5 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 3 years of relevant experience

Experience in Analyzing the Complex Problems and translate it into data science algorithms

Experience in implementing AI/ML models in Customer domain

Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms

Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling

Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data

Lead role mentoring multiple Jr. Analysts on approach and results.

Strong Experience with one or more of Python and PySpark

Experience in building GenAI applications

Our Ideal Candidate

You are a technically strong and high performing individual with excellent communication skills, proven analytical skill set and strong customer focus. You stay updated with latest research and technology ideas, and have a passion to utilize innovative ways to solve problems. You are a good story-teller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders. You have industry knowledge of the retail space, with keen interest in keeping up to date on the latest happenings in this space.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That s what we do at Walmart Global Tech. We re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is and feels included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field. Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location... BLOCK- 2, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1P, OUTER RING ROAD KADUBEESANAHALLI, , India
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Walmart
Location(s): Bengaluru

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[Full Time] Lead Data Scientist and Architect at Tech Mahindra

Fri, 06 Feb 2026 12:00:00 +0530

Job Description

Lead Data Scientist /Architect

Overview
We are looking for a talented Lead Data Scientist to work with our Foundry Research and Development team in our Pune office to build innovative products delivered at scale to global markets.
Role
This role involves working with a team of talented developers to develop high performance AI solutions.
Responsible for the analysis, design, and development of AI solutions using relevant ML / DL / Gen AI tools and techniques as per use case
Research on new AI frameworks and technologies and apply the same to the development of new Products and capabilities
Contribute to the requirements for new applications and customizations, adhering to standards, processes, and best practices
Applies technical capabilities within own discipline to coach and develop junior employees
Work with cross functional teams spread across geographies on new product development
Skills
Proficiency with Python and related ecosystem of Data Science tools and packages including numpy, pandas, sklearn, spacy, keras, torch, transformers, langgraph
Expertise in creation of Agentic AI applications using frameworks like langgraph and good knowledge of Agentic AI design patterns and related concepts like Context Management, LLMOps, AgentOps, Guardrails, Agent Validation and Evaluation
Well versed with various Machine Learning, Deep Learning and NLP concepts and models for both supervised and unsupervised learning
Working knowledge of Python based API based frameworks like FastAPI and comfortable working with JSON objects
Good working knowledge of pyspark with conceptual understanding of parallel processing for huge data volumes and Hadoop ecosystem (Hive, Impala, Scoop)
Expertise in Prompt engineering and working with both external API based LLMs like GPT family and our-hosted models like Llama, Qwen, gemma and Kimi K2
Expertise in creating and executing optimized SQL queries and creating stored procedures with databases like Cosmos DB and Postgres DB
Expertise in creating AI solution architectures and pipelines
Experience in code configuration management with frameworks like github and bitbucket
Experience working with Unix commands for accessing various systems and databases and deploying and managing services / APIs
Working knowledge of cloud platforms like Azure and using Cloud Native services
Working knowledge of Databricks is good to have
Working knowledge of MLOps tools like MLflow is good to have
Working Knowledge of LLM Finetuning is good to have
The ideal candidate for this position should:
Possess at least 7 years of relevant work experience in the field of Data Science
Loves creating innovative solutions to problems in a collaborative and fast passed environment
Advanced knowledge and understanding of modern software engineering concepts and methodologies
Passionate about code quality and coding best practices
Show initiative and demonstrate a willingness to take on challenging opportunities
Excellent communication (verbal and written) and strong collaboration skills
Must be driven, highly motivated and a strong team-player
Ability to work independently without constant supervision; Proficient in solving problems and taking decisions independently
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Tech Mahindra
Location(s): Hyderabad

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[Full Time] Senior Manager - Data Science at Sun Pharma

Fri, 06 Feb 2026 12:00:00 +0530

Job Description

Areas of Responsibility

At Sun Pharma, we commit to helping you Create your own sunshine by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community.
Are You Ready to Create Your Own Sunshine?
As you enter the Sun Pharma world, youll find yourself becoming Better every day through continuous progress. Exhibit self-drive as you Take charge and lead with confidence. Additionally, demonstrate a collaborative spirit, knowing that we Thrive together and support each others journeys.

Job Summary:

The role would work as an integral part of the Data & Analytics team at SUN Pharma. It involves leading and managing business critical data science projects and AI/ ML Initiatives. The role requires an understanding of business processes related to Pharma industry and data science and analytics, and the ability to communicate effectively to both technical and functional stakeholders.

Position offers a significant opportunity for an all-round business understanding and impact working with the in-house teams as well as business and corporate functions as well as technology consultants and partners

Key Responsibilities:

For designated complex and business critical digital and technology based data & AI related projects,

Building and expanding the Data Analytics CoE and Data Architecture for Global Use cases

Clear understanding of the expected business outcome, business value and specific outputs / deliverables

Managing stakeholders and expectations from use of data science and analytics

Working in tandem with Data guardians from different functions, in-line with their requirements and vision

Monitoring any proof of concept for new requirement, coordinating with involved stakeholders and partners, ensuring timely completeness for the objectives pre-decided

Planning benefits realization for Data Science projects and execution strategy

Reusability of data streams, wherever applicable, to eliminate duplication in data foot print

Managing a team of data engineers, cloud architects, MLOps engineers and Database engineers

Structuring delivery team organization, managing the engagement with relevant partner ecosystem

Managing CI-CD pipelines and building ML products for internal teams

Managing budgets, managing scope, time and quality, measuring and managing change

Targeted communication, orchestration and governance

System/solution usage and adoption, benefit realization and measurement

Travel Estimate

Mostly, within India;

Job Scope

Internal Interactions (within the organization)

Across Functions, Global Function Heads, CEOs, MDs Office

External Interactions (outside the organization)

Technology solution / service delivery partners

Geographical Scope

Global

Financial Accountability (cost/revenue with exclusive authority)

Delivering data analytics. ML & AI Projects as per approved cost.


Job Requirements

Educational Qualification

B. Tech / MBA

Specific Certification

Skills

Knowledge of Data Science, ML, Statistical Techniques, Data Modelling, Data Transformation, Use of Cloud Hyperscaler environment.

Use of cloud based tools for automating ML pipelines and deploying cloud based models for end users

Ability to understand and interpret complex datasets and formulate means for merging disparate data sources

Strong fundamentals in cloud services and data lake architecture.

Work involves handling sensitive data and confidential information requiring discretion on the role holder's part.

Ability to work under deadlines and comfortable with certain level of ambiguity

Ability to multi task, successfully adapt to changes in work priorities.

Should be comfortable to operate at a strategic level, and also have an eye for detail.

Should be a self motivated

Experience

7-12 years (preferably, IT Services / Pharma Industry Experience, from organizations of repute)

Experience in handling data/ data models for different functions

Your Success Matters to Us

At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Lets create a brighter future together!

Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employee within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of incumbent(s).

Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: Sun Pharma
Location(s): Mumbai

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[Full Time] Engagement Manager - Data Science CPG at Sdna Global

Fri, 06 Feb 2026 12:00:00 +0530

Job Description
Engagement Manager Analytics Consulting Data Science (CPG)
Location: Hyderabad (Hybrid)
Experience: 9+ Years
Only immediate joiners, candidates currently serving notice period, or those with an official notice period of 30 days should apply for this role.

Role & responsibilities

We are looking for an Engagement Manager to lead analytics consulting engagements in the CPG/Retail space, with a strong focus on Pricing, Promotions, and Revenue Growth Management (RGM). This role requires a hands-on leader with deep data science experience, capable of building and guiding advanced models while managing senior client stakeholders.
Key Responsibilities

Lead end-to-end analytics engagements for CPG/Retail clients focused on Pricing, Promotions, and RGM

Own problem framing and solution design for use cases including:

Market Mix Modeling (MMM)

Price elasticity and price optimization

Trade promotion effectiveness and ROI measurement

Demand forecasting and sales planning models

Guide and review development of advanced analytics and machine learning models

Translate business problems into structured analytical approaches and model frameworks

Collaborate closely with Data Science and Engineering teams to ensure scalable and production-ready solutions

Drive engagement governance including scope, timelines, quality, and stakeholder communication

Quantify and communicate business impact (revenue uplift, margin improvement, trade spend efficiency)

Present insights and recommendations to senior client leadership

Mentor and develop analytics teams and contribute to reusable RGM accelerators

Preferred candidate profile

Required Skills & Experience

9+ years of experience in analytics, data science, or analytics consulting with CPG/Retail exposure

Strong domain expertise in Pricing, Promotions, Trade Spend, and Revenue Growth Management

Proven hands-on experience building and guiding:

Market Mix Models (MMM)

Forecasting models (time series, demand forecasting)

Machine learning models (regression, classification, tree-based models, etc.)

Strong programming experience in Python for data analysis and modeling

Advanced SQL skills for data extraction and transformation

Experience working with large-scale, multi-source CPG datasets (sales, pricing, promotions, media, trade)

Ability to balance hands-on modeling with client-facing consulting leadership

Strong communication, storytelling, and stakeholder management skills
Education
Bachelors degree in Engineering, Statistics, Mathematics, Economics, or a related field

Masters degree (MBA / MS / equivalent) preferred

Job Classification
Industry: Management Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Sdna Global
Location(s): Hyderabad

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[Full Time] S&c Global Network - Ai - Fs Banking & Capital-consultant at Accenture

Thu, 05 Feb 2026 12:00:00 +0530

Job Description
Management Level:09 - Senior Consultant
Location:Gurgaon/Bangalore/Mumbai
Must have skills:Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALLE, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes

Good to have skills:PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions
Experience:Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development.

Educational Qualification:Bachelor''s or Masters in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute.
Job Summary:
Accenture AI is seeking a talented and motivated Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs.
Roles Responsibilities:
Collaboration:Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
Model Deployment:Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
API Development:Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications.
Client Collaboration:Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.
Generative AI Model Integration:Integrate generative AI models into existing workflows, applications, and platforms via APIs.
Performance Optimization:Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.
Data Pipeline Development:Build and maintain data pipelines to support real-time or batch processing for generative AI models.
Security and Compliance:Implement security best practices and ensure APIs comply with data privacy and regulatory standards.
Documentation:Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
Testing and Monitoring:Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.
Stay Updated:Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.
Qualification
Professional Technical Skills:
3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs).
Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Expertise in API Development and deployment, with hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Ability to build and optimize data pipelines for generative AI models.
Knowledge of security best practices and ensuring compliance with regulatory standards.
Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions.
Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.
Additional Information:
Experience with large-scale data processing and expertise in NLP or computer vision.
Contributions to open-source AI/ML projects.
Experience with cloud integrations, big data technologies, and performance optimization.
Familiarity with security standards and regulatory compliance in AI solutions.
About Our Company | Accenture (do not remove the hyperlink)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Mumbai

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[Full Time] Senior Associate - BI Engineer at Macquarie

Wed, 04 Feb 2026 12:00:00 +0530

Job Description

What role will you play

In this role, youll work within a small, globally distributed team to deliver solutions that support controls, reporting, and supervisor dashboards. You will partner closely with supervisors, business analysts, and operations teams to gather requirements and translate them into actionable insights using existing and newly developed tools, including timely alerts and visualizations.

You will independently design, build, document, and maintain scalable, reliable workflows while continuously identifying opportunities to uplift existing technologies.

What you offer

Bachelor s degree in a quantitative or problem solving discipline, with a minimum of three years relevant experience and strong analytical capability.

Experience working with data in a commodities trading or similar financial services environment, with an understanding of related terminology.

Hands on experience with data analysis and automation tools such as SQL, Hive, Dataiku, Alteryx, and at least one modern data visualisation platform (e.g. Spotfire, Tableau, Power BI).

Proficiency in programming and data querying languages, including Python and T SQL, with exposure to source control and automated scheduling.

Strong problem solving skills with experience designing and supporting scalable, reliable workflows using large, transactional datasets

Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Macquarie
Location(s): Noida, Gurugram

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[Full Time] Data Science - Director job opening at GlobalData(Hyderabad) at Globaldata

Wed, 04 Feb 2026 12:00:00 +0530

Job Description
R
Hello,

Urgent job openings for Data Science - Director @ GlobalData(Hyderebad)

Job Description given below please go through to understand the requirement.

if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (m.salim@globaldata.com).
Mention Subject Line :-
Applying for Data Science - Director @ GlobalData(Hyd)
Share your details in the mail :-
Your Full Name :
Mobile # :
Qualification :
Company Name :
Designation :

Total Work Experience Years :
Work Experience in Data Science Years :
Python Experience Years :
Gen AI/LLM Experience Years :
Team/Project size handled :

Current CTC :
Expected CTC :
Notice Period :
Current Location/willing to relocate to Hyd? :

Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081.
Job Description :-
Role : Data Science and LLM Director
Overview
This combined role leads the organization's data science initiatives with a special focus on Large Language Models (LLMs), generative AI technologies, and intelligent automation. The position requires strategic leadership in data-driven decision making, specialized expertise in implementing cutting-edge AI language models, and proficiency in developing automated solutions to transform business operations and enhance organizational efficiency.
Core Responsibilities :-
Leadership & Strategy
Lead and mentor a team of data scientists, ML and Python engineers, and automation specialists, fostering a culture of innovation, collaboration, and continuous learning
Develop and execute the organization's data science, generative AI, and automation vision, strategy, and roadmap aligned with business objectives
Identify and prioritize high-impact opportunities where data science, LLMs, and automation can drive business value and operational efficiency
Partner with senior executives to ensure AI and automation initiatives support broader organizational goals
Establish governance frameworks, ethical guidelines, and best practices for responsible AI deployment and automated process implementation
Drive automation strategy to streamline workflows, reduce manual processes, and enhance productivity across data science operations
Technical Direction
Design scalable data processing pipelines and architecture for analytics, modeling, LLM implementation, and automated workflows
Oversee the evaluation, fine-tuning, and deployment of large language models for specific business applications
Drive implementation of data science, LLM, and automation solutions across various business functions including customer service, content generation, knowledge management, and process optimization
Develop and implement intelligent automation strategies to streamline data workflows, model deployment, and operational processes
Balance innovation with practicality, selecting appropriate technologies and automation tools based on business needs and ROI
Guide the integration of LLMs with existing data infrastructure, systems, and automated processes
Establish automated monitoring using Python , testing, and deployment pipelines for AI/ML models and data science solutions
Applied Data Science
Lead the development of predictive models, machine learning solutions, and LLM applications
Ensure data quality and appropriate data management practices across initiatives
Direct the collection of new data and refinement of existing data sources to improve model performance
Oversee experimentation and validation processes to evaluate solution effectiveness
Facilitate the translation of complex analytical findings into actionable business insights
Communication & Education
Present findings and recommendations to key stakeholders through reports and presentations
Serve as the organization's point person for generative AI knowledge and applications
Develop educational resources and training programs to build data science and AI literacy
Communicate complex technical concepts to non-technical stakeholders in clear, understandable terms
Prepare white papers, case studies, and other materials showcasing data science and LLM successes

Qualifications, Education & Experience
Master's or B,tech in Computer Science, Statistics, Mathematics, Data Science, Machine Learning or related quantitative field
10+ years of experience in data science, with at least 3+ years focusing on natural language processing or LLMs
7+ years of experience managing technical teams and leading complex projects
5+ years of hands-on experience in automation, process optimization, and workflow automation tools
8+ years of advanced Python programming experience, including data science libraries, automation frameworks, and ML/AI development
Demonstrated success implementing data science and automation solutions that deliver measurable business impact
Experience with large language model deployment, fine-tuning, and evaluation
Proven track record in developing and implementing automated data pipelines, ML model deployment, and intelligent process automation using Python
Technical Skills
Expert-level programming skills in Python and proficiency with data science/ML libraries
Strong background in machine learning, deep learning, and statistical analysis
Hands-on experience with LLM frameworks such as PyTorch, TensorFlow, or Hugging Face
Experience with MLOps and the automation of model training, evaluation, and deployment
Proficiency with cloud platforms (AWS, GCP, Azure) and big data technologies
Knowledge of data visualization tools and techniques for effective communication
Leadership & Soft Skills
Strategic thinking and business acumen with ability to align technical solutions to business needs
Exceptional communication skills for conveying technical concepts to diverse audiences
Experimental mindset with ability to balance innovation with practical implementation
Strong project management capabilities and experience with agile methodologies
Collaborative approach to working with cross-functional teams and stakeholders
Key Performance Indicators
Development and execution of data science and LLM strategy with measurable business impact
Successful implementation of LLM-powered solutions that improve operational efficiency
Quality and effectiveness of data science team output and deliverables
Adoption of data-driven decision making across the organization
Creation of scalable, sustainable data science and AI infrastructure

This role reports directly to the Chief Technology Officer (or equivalent) and works closely with executives across Product, Engineering, Marketing, and Customer Success to drive data-powered innovation and business growth.

Thanks & Regards,
Salim
(Human Resources)
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: Globaldata
Location(s): Hyderabad

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[Full Time] Data Scientist at Meta

Tue, 03 Feb 2026 12:00:00 +0530

Job Description

We are looking for a highly skilled Data Scientist to join our team at Meta, playing a crucial role in driving business growth through data-driven insights. The ideal candidate will have a strong background in data analysis and machine learning, with the ability to work collaboratively with cross-functional teams.

Roles and Responsibility

Develop and implement advanced data models and algorithms to solve complex problems.

Analyze large datasets to identify trends, patterns, and correlations.

Design and deploy machine learning models using various techniques.

Collaborate with stakeholders to understand business needs and develop solutions.

Communicate complex technical concepts to non-technical audiences.

Stay updated with industry trends and emerging technologies.

Job Requirements

Strong proficiency in programming languages such as Python or R.

Experience with data visualization tools like Tableau or Power BI.

Knowledge of statistical modeling and machine learning algorithms.

Excellent problem-solving skills and attention to detail.

Ability to work effectively in a team environment.

Strong communication and interpersonal skills.

Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Meta
Location(s): Bengaluru

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[Full Time] Artificial Intelligence Engineer/AI Developer/Data Analyst at Tech Mahindra

Tue, 03 Feb 2026 12:00:00 +0530

Job Description
Role - AI Engineer

Location - Pune/Mumbai/Noida/Bangalore/Hyderabad/Chennai

Exp required - 5+ Yrs only

Joining Time Required - Immediate to 45 Days only

JD:
Senior AI Developer
Proficient in Python programming and machine learning frameworks.
Strong experience in developing and deploying machine learning models.
Hands-on experience with OpenAI technologies and applications.
Proficient in Fast API for building and deploying REST APIs.
Familiarity with Azure Stack and cloud services for AI solutions.
Experience with Autogen and MCP for automation and model management.
Knowledge of Docker and Kubernetes for containerization and orchestration.
Excellent analytical and problem-solving skills.
Strong communication skills and the ability to work collaboratively in a team environment.
Proactive attitude with the ability to lead small teams independently.
Experience with CI/CD pipelines to deploy Fast API applications.

AI Engineer
Proficient in Agentic AI, GenAI, and LLM technologies, with experience in NLP tools such as Word2Vec, NLTK, SpaCy, BERT, GloVe, Autogen, Semantic Kernel, Lang chain, and Langraph.
Hands on development experience with development of AI agents.
Familiarity with either of cloud platforms like Azure, AWS or Google Cloud
Strong programming skills in Python, with experience in frameworks such as Flask for lightweight applications and FastAPI for API development.
Proficient in using Docker for container deployment and deploying ML models on Kubernetes clusters.
Experience with NoSQL, SQL, and vector databases.
Strong understanding of statistical methods and experimental design.
Familiarity with MLOps practices for continuous integration and continuous deployment (CI/CD) in machine learning.
AI Prompt Engineer

Experience: 5+ years of experience in AI, machine learning, or software engineering roles, including substantial work with NLP or large language models
NLP & AI Expertise: Strong understanding of natural language processing concepts, generative AI, and prompt engineering techniques. Familiarity with how large language models (e.g. GPT-4, GPT-5 etc.) function, their limitations, and how to steer them with well-crafted prompts.
OpenAI & Azure Proficiency: Hands-on experience with OpenAI GPT models and Microsoft Azure AI services
Adaptability: Enthusiasm for continuous learning in a rapidly evolving field. The ideal candidate stays updated with the cutting edge of AI research and can adapt prompt engineering practices as new models and techniques emerge.
Good to have: Experience with retrieval-augmented generation (RAG) techniques. Prior work in a fintech or financial services environment, and familiarity with handling sensitive data.Role & responsibilities

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Tech Mahindra
Location(s): Noida, Gurugram

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[Full Time] Data Science Scientist at Pepsico

Mon, 02 Feb 2026 12:00:00 +0530

Job Description
Overview
The Data Science Scientist ( Data Scientist) will support the France DX team. This person is responsible for supporting the France commercial data strategy and ecosystem through developing and implementing advanced analytics solution and a comprehensive business intelligence roadmap. The team works closely with the marketing commercial ecosystem to ensure all commercial data is leveraged in the most optimal way.
Responsibilities
As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for France e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.
Data Analysis and Modeling: Analyzing complex datasets to extract valuable insights and identify trends/patterns. Develop and implement predictive and prescriptive models to support business decision-making. Ensure data quality and integrity throughout the analysis process.
Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home
Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects
Build analysis in Python with accompanying documentation
Designing and using algorithms and building predictive prescriptive models needed to automate execution and the generation of insights, to enable efficiencies that allow colleagues to focus on value added tasks.
Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data
Developing our internal capability to derive insights from structured data, unstructured data through location intelligence, machine learning, collaborative filtering, etc. to unlock new sources of insight that can be used to drive competitive advantage.
Qualifications
Bachelor''s or advanced degree in a quantitative field for instance a Masters degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
6 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
Job Classification
Industry: Beverage
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Pepsico
Location(s): Hyderabad

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[Full Time] AI / ML Developer (Lead) at Infogain

Fri, 30 Jan 2026 12:00:00 +0530

Job Description

Technical Skills- Required:

Bachelor s degree in computer science or a related field OR master s degree in statistics, economics, business economics, econometrics, or operations research.

7-10 years of experience in the Analytics/Data Science/Software Development domain.

Proficiency in programming languages such as Python.

Experience with Generative AI techniques and tools.

Experience with semantic graph concepts and Knowledge Graph

Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.

Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services.

Proven experience designing and implementing AI/ML solutions in production environments.

Strong knowledge of agentic application architectures, tools, and frameworks.

Experience delivering AI-driven automation, workflow optimization or intelligent product enhancements.

Expertise in knowledge base creation, context engineering, and MCP tools integration.

Excellent communication and stakeholder management skills across business and technical teams.

Technical Skills Desirable:

Expertise in NLP and Generative AI concepts/methods/techniques like

Prompt design/engineering

Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT-4o

Fine-tuning through LORA/QLORA

Multi-agentic frameworks for RAG

Reranker etc. for enhancing the plain-vanilla RAG

Evaluation frameworks like G-Eval etc.

Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP).

Good understanding of issues such as scalability, performance and reliability for data processing pipelines and distributed applications

EXPERIENCE

8-11 Years

SKILLS

Primary Skill: AI/ML Development

Sub Skill(s): AI/ML Development

Additional Skill(s): TensorFlow, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Knowledge Graph Embeddings

ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Bengaluru

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[Full Time] Data Science Architect Senior at Infogain

Fri, 30 Jan 2026 12:00:00 +0530

Job Description

We are seeking an experienced Generative AI Architect with deep expertise in designing, building, and scaling Generative AI and Large Language Model (LLM) based solutions on cloud platforms. The role requires strong architectural leadership and hands-on implementation skills, particularly using Python-based AI/ML frameworks, to deliver secure, scalable, and production-grade GenAI systems.

Eligibility

Minimum Qualifications

Bachelor s degree in Computer Science, Engineering, or a related field

OR Master s degree in Statistics, Data Science, Economics, Operations Research, or a related discipline.

12 15+ years of experience in Analytics, Data Science, AI/ML, or advanced engineering roles.

Extensive hands-on experience with Generative AI and LLM-based solutions.

Strong proficiency in Python, with experience building AI/ML and GenAI applications.

Proven experience designing and deploying solutions on AWS.

Solid understanding of data engineering, model lifecycle management, and production deployment.

Core Technical Skills (Required)

Generative AI & LLM Architecture

Expertise in:

o Prompt design and prompt engineering using Python-based frameworks

o Retrieval-Augmented Generation (RAG), Corrective RAG, and hybrid retrieval approaches

o Knowledge Graph based RAG implementations

o Multi-agent and agentic frameworks implemented in Python

o Model evaluation, hallucination mitigation, and response quality measurement

Experience with:

o Fine-tuning techniques such as LoRA / QLoRA using Python ML stacks

o Reranking, embedding strategies, and semantic search optimization

o Automated and human-in-the-loop evaluation frameworks

Python & AI/ML Development

Advanced proficiency in Python for:

o Developing GenAI services, APIs, and orchestration layers

o Integrating LLMs with vector databases, search engines, and data sources

o Building reusable libraries and modular AI components

Experience with Python libraries and frameworks such as:

o LangChain, LangGraph, LlamaIndex or similar

o FastAPI or Flask for AI service deployment

Multimodal AI

Experience or strong architectural exposure to:

o Text, image, audio, and video AI workflows

o Multimodal generation pipelines orchestrated via Python services

o Content structuring, summarization, and transformation using GenAI

AWS & Cloud Architecture

Strong hands-on experience with AWS services, including:

o Amazon Bedrock, SageMaker

o Lambda, ECS/EKS

o S3, OpenSearch, DynamoDB, RDS

o IAM, VPC, KMS, CloudWatch

Experience designing:

o Secure, scalable, and cost-optimized GenAI architectures

o VPC-isolated AI workloads and governed access models

o CI/CD pipelines and Python-based MLOps workflows

Data & Platform Engineering

Solid understanding of:

o ETL pipelines implemented in Python

o Structured and unstructured data processing

o SQL and database technologies

Exposure to Big Data and distributed processing frameworks is desirable.

Key Responsibilities

Architecture & Solution Design

Design end-to-end architectures for Python-driven Generative AI and LLM solutions.

Define reusable Python frameworks for prompt management, RAG pipelines, agent orchestration, and evaluation.

Ensure architectural alignment with scalability, security, and governance standards.

Technical Leadership & Delivery

Lead solution development using Python-centric AI stacks, from design through production deployment.

Guide engineering teams on best practices for Python-based GenAI development.

Ensure delivery of high-quality, production-ready AI solutions.

Governance, Quality & Risk Management

Implement governance, safety controls, and evaluation frameworks using Python-based tooling.

Monitor performance, quality, and reliability of deployed GenAI systems.

Mentoring & Best Practices

Mentor engineers and data scientists on Python, GenAI architecture, and LLM integration patterns.

Conduct code and design reviews to ensure maintainability and quality.

Innovation & Continuous Learning

Stay current with advancements in Generative AI and Python-based AI ecosystems.

Evaluate and adopt new frameworks, tools, and methodologies where relevant.

Desirable Skills

Experience with open-source LLMs and SLMs using Python.

Familiarity with vector databases and embedding stores.

Exposure to observability and evaluation tooling for GenAI systems.

Understanding of content structuring or learning-related AI workflows is a plus.

EXPERIENCE

20-25 Years

SKILLS

Primary Skill: Data Science

Sub Skill(s): Data Science

Additional Skill(s): Python, Data Modeling, Data Science

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Bengaluru

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[Full Time] Director, Principal Engineer, AI and Data Engineering at Pfizer

Thu, 29 Jan 2026 12:00:00 +0530

Job Description

ROLE SUMMARY
Do you want to make a global impact on patient healthDo you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AIJoin Pfizer Digital s Commercial Creation Center and CDI organization (C4) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer s transformation into a digitally driven organization, using data science and AI to change patients lives.

As the Director, Principal Engineer, AI and Data Engineering, you will be a leader within C4 team that leverages best practices from software engineering, data science, and analytics engineering to accelerate data-driven insight generation for the International Commercial business. In this role, you will be a technical advisor for developing and enhancing AI applications and integrating them into the enterprise analytics platform. You will help guide the strategic direction for AI within the International Commercial team while counseling business teams on how to evolve Pfizer International into a data-driven organization. In this process, you will work on diverse projects to close the loop between decisionmakers and data by leveraging software engineering best practices to develop applications with embedded AI. You will also integrate globally with Pfizer data science and AI teams to elevate AI assets to organizational or enterprise solutions for use at Pfizer. The ideal candidate is an expert in software engineering, data science, and AI with experience working in diverse and cross-functional teams, bridging the gap between data, technology, and people, to deliver the promise of AI to improve patients lives.
ROLE RESPONSIBILITIES

Provide thought leadership in developing scalable AI solutions for Pfizer International Commercial model

Design and lead the delivery of end-to-end data science and AI solutions including overseeing data ETL pipelines, server-side logic, ML engineering, frontend development, visualization, IaC, and CI/CD deployment

Lead AI solutions development workstreams by providing expertise, thought leadership, and embodying best practices to drive technical and strategic objectives

Lead discussions in cross functional forums to clarify model design, deployment, insights, and highlight implications to all cohorts of users

Communicate complex technical concepts and insights to both technical and non-technical stakeholders to influence strategic decision-making

Conduct advanced data analysis, predictive analytics, and design algorithms to solve business problems

Mentor junior team members through technical and organizational leadership

Research and apply new algorithms, technologies, and analytics practices to achieve business and technical objectives

Build a sense of trust and rapport that creates a comfortable and effective workplace, and an ability to work as part of an agile team (product owner, developers, etc.)

Represent the company in industry events and help recruit top talent

BASIC QUALIFICATIONS

10+ years of work experience as a software engineer and tech lead for a diverse range of projects

5+ years of hands-on expertise in AI, data science, or software development

2+ years experience as a back-end or full-stack senior/staff/principal software engineer

Computer Science, Engineering, Mathematics, or Statistics majors with data science or software development specialization Computer Science, Engineering, Analytics etc.

Experience with the latest Large Language Models (LLM) public service API s (OpenAI & Claude), prompt engineering techniques, agentic framework (LangChain, Autogen, etc.) and serving concepts (MCP, A2A, etc.)

Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa

Experience in developing and operating analytic workflows and model pipelines that are parametrized, automated and reusable

Experience developing and deploying data and analytic products for use by technical and non-technical audiences

Understanding of data science development lifecycle (CRISP)

Strong hands-on skills in ML engineering and data science (e.g., Python, industrialized ETL software)

Experience with test-driven development and automated testing frameworks (e.g. pytest, pydantic)

Strong hands-on skills in CI/CD integration (e.g. GitHub, GitHub Actions or Jenkins)

Strong hands-on skills in a cloud based analytics ecosystem (AWS, Snowflake, etc)

Fierce curiosity, strong analytical skills, and strong sense of ownership in problem solving

Strong verbal and written communication skills with Chinese and English language proficiency

PREFERRED QUALIFICATIONS

Knowledge of business processes in commercial pharmaceutical domains would be strong plus

Deep expertise with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, or other data science platforms

Industry or consulting experience, along with project management skills strongly preferred

Deep understanding of MLOps principles and tech stack (e.g. MLFlow)

Experience in data ingestion, data warehousing, and data model concepts

Strong hands-on skills for data pipeline orchestration (e.g. Airflow)

Strong hands-on skills in containerization (e.g. AWS EKS, Kubernetes)

Experience with big data technologies (e.g. Spark)

Work Location Assignment: Hybrid
Information & Business Tech
Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Mumbai

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[Full Time] Manager, FIEET Engineer at Pfizer

Wed, 28 Jan 2026 12:00:00 +0530

Job Description

Job Description

ROLE SUMMARY
We are seeking an experienced Software Engineer to collaborate and partner across high-performing, cross-functional software engineering teams. In this role, you will build and support rapid prototyping that meet specific outcomes, innovate using new technologies, and model the ownership behaviors that define our engineering culture.
This Manager role supports the creation of innovative AI solutions that have high impact to the organizational and its strategic goals. Youll work with multiple teams, be recognized as a domain SME and navigate through complexity and ambiguity to deliver results.

ROLE RESPONSIBILITIES
Collaborate and partner across high-performing, cross-functional software engineering teams
Partner with stakeholders to translate business needs into technical solutions
Develop and test prototype AI solutions to meet specific objectives while maintaining high-quality code standards
Model ownership behaviors and accountability for team outcomes

ROLE BEHAVIORS
Don't Lose Your Curiosity: Proactively investigates root causes; experiments with new technologies and AI capabilities; protects time for exploration; treats failure as learning; discovers requirements through immersion in problem spaces
Own the Quality: Takes end-to-end ownership of features and systems; supports production operations; ensures quality over speed; never ships code without rigorous review; builds trust through rapid delivery of working solutions
Think in Systems: Maps complex system interactions across technical and business domains; anticipates cascading effects; designs systems that degrade gracefully; understands how technology changes impact business operations
Be Polymath Oriented: Applies knowledge from one domain to inform decisions in another; studies adjacent fields like design, business, or science; begins learning domain language of business partners
Communicate with Precision: Writes clear documentation and specifications; reduces ambiguity in requirements; crafts effective prompts for AI tools; adapts communication style for different audiences

QUALIFICATIONS
Bachelors degree in computer science or similar field
4+ years of experience in software engineering, data science, or applied AI
Proven ability to build working prototypes and AI applications using modern languages and frameworks

FOUNDATIONAL-LEVEL SKILLS
Architecture & Design: You can explain common patterns (MVC, microservices) and contribute to architectural discussions.
Code Quality & Review: You write readable code, use linting tools, write basic tests, and participate in code reviews.
DevOps & CI/CD: You configure basic pipelines and understand containerization basics.
Full-Stack Development: You build simple features across frontend and backend using JavaScript or Python and understand how layers connect.

Work Location Assignment: Hybrid

Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Chennai

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[Full Time] Manager, Data Engineering at Pfizer

Tue, 27 Jan 2026 12:00:00 +0530

Job Description
ROLE SUMMARY

Are you passionate about transforming media data into actionable insights for marketing successDo you thrive in a dynamic environment that blends data engineering, media analytics, and commercial strategy

Join our team as a Manager where you will lead the development and deployment of advanced analytics and engineering solutions for media marketing mix optimization. You ll leverage cutting-edge technologies including cloud-based analytics platforms, AI and machine learning to drive strategic decisions and maximize ROI across digital and traditional media channels. This global role offers the opportunity to collaborate with cross-functional teams, influence marketing strategies, and shape the future of data-driven media planning.

The ideal candidate is a passionate and results-oriented Data Engineer with a proven track record of building analytics pipelines, Analytics products, and Insights for the Life Sciences and Healthcare industry.

ROLE RESPONSIBILITIES

Implement end-to-end analytics solutions to support commercial business objectives, including data curation, data analysis and manipulation and deployment.

Develop pipelines and drive foundation for the implementation of media mix modeling and marketing analytics solutions.

Has good understanding of media data integration, campaign performance, and resource allocation across digital, TV, print, and social media channels.

Collaborate with our Data science, performance insights and brand-facing Insights & Strategy teams to build analytics solutions for specialized Global markets and commercial business units.

Develop and maintain reusable analytics assets, custom data pipelines, and dashboards for media performance tracking and visualization.

Partner with enterprise Digital Engineering team to identify and source data from centralized data warehouses.

Actively contribute to Analytics team and project documentation and playbooks.

Technical skills and competencies:

Advanced proficiency in Python, R, SQL, and cloud analytics platforms (e. g. , Azure, AWS, GCP).

Solid experience in SQL, data manipulation and Business Intelligence tooling and pipeline development.

Understanding of Agile, SDCL, CI/CD is preferred.

Experience with data visualization tools (Tableau, Power BI, Looker) and interactive analytics.

Experience working in agile setting or bringing agile best-practice mentorship to the team.

Familiarity with data privacy standards, pharma industry practices/GDPR compliance is preferred.

Strong understanding of media data sources (ad impressions, GRPs, reach/frequency, digital analytics, social listening, CRM).

Ability to architect scalable data solutions and automate analytics workflows.

BASIC QUALIFICATIONS

5-8 years of combined Analytics Data Engineering, Data analysis, Business intelligence or Analytics development experience

Recent Healthcare Life Sciences (pharma preferred) and/or commercial/marketing experience industry experience is highly preferred.

Bachelor s degree in a technical area such as Computer Science, Engineering, IT, or related Health Sciences field.

Expert proficiency in Python, R, SQL, and Media analytics platforms.

Strong verbal and written communication skills; ability to influence and collaborate across teams.

Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa

PREFERRED QUALIFICATIONS

Industry experience in media, advertising, or marketing analytics coupled with basic understanding of the pharma domain.

Consulting experience and project management skills.

Familiarity with media datasets (Nielsen, Kantar, ComScore, digital ad platforms, CRM, social media analytics).

Marketing and Market Research

Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Mumbai

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[Full Time] Data Science Manager job opening at GlobalData(Hyd) at Globaldata

Tue, 27 Jan 2026 12:00:00 +0530

Job Description
Hello,

Urgent job openings for Data Science Manager role @ GlobalData(Hyd).

Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (m.salim@globaldata.com).

Mention Subject Line :-
Applying for Data Science Manager @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location/willing to relocate to Hyd? :

Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081.

Job Description :-
About the Role
We are seeking an experienced Data Science Manager to lead our data science team in transforming complex data into actionable business insights. The ideal candidate will combine strong technical expertise with leadership skills to guide a team of data scientists while collaborating with cross-functional stakeholders to drive data-informed decision making throughout the organization.
Key Responsibilities
Lead and mentor a team of 5-8 data scientists, providing technical guidance and career development
Develop and implement the organization's data science strategy and roadmap in alignment with business objectives
Oversee the full lifecycle of data science projects from conception to deployment
Establish best practices, methodologies and standards for data science processes
Drive the development of machine learning models, predictive analytics, and other advanced analytical solutions
Collaborate with business leaders to identify opportunities for data-driven improvements
Translate complex technical concepts into clear insights for non-technical stakeholders
Ensure data quality, integrity, and proper governance in all data science initiatives
Stay current with emerging technologies and methodologies in data science and AI
Manage project timelines, resources, and budgets to ensure timely delivery of solutions
Qualifications
Master's degree or PhD in Computer Science, Statistics, Mathematics, or related quantitative field
7+ years of experience in data science or related analytical roles
5+ years of experience managing data science teams and projects
Strong programming skills in Python, R, or similar languages
Expertise in machine learning algorithms, statistical analysis, and data mining techniques
Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP)
Proven track record of delivering impactful data science solutions that drive business value
Excellent communication and presentation skills with ability to translate technical concepts for business audiences
Strong project management and organizational abilities
Business acumen with understanding of how data science can drive organizational success
Preferred Qualifications
Experience in our industry sector
Knowledge of data visualization tools (Tableau, Power BI)
Familiarity with MLOps and model deployment
Experience implementing NLP or computer vision solutions
Agile/Scrum certification or experience

Thanks & Regards,
Salim
(Human Resources)
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: Globaldata
Location(s): Hyderabad

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[Full Time] Ai Ml Engineer at Quinnox

Tue, 27 Jan 2026 12:00:00 +0530

Job Description
IMMEDIATE OPENINGS

Role : AI ML Engineer
EXP : 5- 9 years
Location : Bangalore & Mumbai
Work Mode : Hybrid

JD:

Required Skills & Experience:
5+ years in AI/ML, with expertise in LLM, Computer Vision, OCR, and Deep Learning.
Strong knowledge of CNN architectures (ResNet, EfficientNet, YOLO, Mask R-CNN) and Vision-Language Models (VLMs).
Hands-on experience with OCR frameworks (AWS Textract, Azure Form Recognizer, Google Document AI, Mistral OCR).
Proficiency in Python, PyTorch/TensorFlow, and FastAPI/Flask for AI service development.
Cloud experience in AWS/Azure/GCP AI/ML services.
Familiarity with Vector Databases (Pinecone, FAISS, Weaviate) and LLM integration (Bedrock, OpenAI, Hugging Face).
Strong understanding of AI evaluation metrics for LLM's, classification, detection, and OCR use cases.
Excellent communication and stakeholder management skills.

Thank you
Aswini V- HR
QUINNOX

Mail.id- Aswiniv@quinnox.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Quinnox
Location(s): Bengaluru

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[Full Time] Data Scientist (Ph.D) at Kyndryl

Fri, 23 Jan 2026 22:57:34 +0530

Job Description
Required Technical and Professional Experience:

0-5 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture.
PhD in Computer Science, Data Science, or a related field (or equivalent research experience
Experience with leading client presentations on proposed solution.
Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) to quickly understand requirements and develop solutions.
Graduate/Postgraduate in computer science, computer engineering, or equivalent with 1-5 years of experience in the IT industry.
Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals.
Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques.
Experience using LLM models on cloud platforms (OpenAI @ Azure, AWS Bedrock, GCP Vertex AI).
Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions.
Strong domain experience in at least two industries (e.g., Financial, Retail, Manufacturing, Telecom).
Completed 2-3 projects in the domain of expertise.
Strong knowledge of Python, C/C++.
Data mining, visualization, and machine learning skills.
Fluent in English (written and spoken).
Degree in a quantitative discipline, such as mathematics, statistics, computer science, or other engineering fields.

Preferred Technical and Professional Experience
Certification in one or more of the hyperscalers (Azure, AWS, Google Cloud Platform)

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Kyndryl
Location(s): Bengaluru

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[Part Time] Data Annotation at Hurix

Fri, 23 Jan 2026 12:00:00 +0530

Job Description

Job Title:
Data Annotation
Location: Remote
Mode: Monday - Friday
Work Timings: 78 hours per day
Department: AI Content
Type: Freelance
About the Role:
We are seeking a detail-oriented and responsible AI Data Annotator / Content Reviewer
to support the development of next-generation Articial Intelligence systems. The role
involves reviewing, labeling, and categorizing digital content to ensure high-quality
training data for AI models. This position requires accuracy, consistency, and the ability to
handle sensitive or NSFW content in a professional manner.
Key Responsibilities: Review, analyze, and label online content, including sensitive and NSFW
material, according to dened guidelines.
Maintain high standards of data accuracy, consistency, and quality in all
annotations.
Contribute to the creation and improvement of AI training datasets used for
machine learning models.
Identify content patterns, errors, and inconsistencies, and provide feedback
to improve annotation standards. Follow quality, security, and compliance requirements at all times.
Collaborate with quality analysts and project teams to ensure timely and
accurate data delivery.
Qualications & Experience:
Education: Bachelors degree or higher
Language Prociency: Excellent English writing and comprehension skills
Minimum B2 level (as per British Council CEFR framework)
Skills: Strong attention to detail, analytical thinking
Work Setup: Private workspace with stable internet connection
Content Flexibility: Must be comfortable working with all types of content

Preferred Attributes:
Experience in content moderation, data annotation, or digital review.
Familiarity with AI, machine learning, or data labeling processes.
Ability to work in a fast-paced and process-driven environment.
Values:
Get stuff done
Move fast with purpose
Win with ideas
Sweat the details
Deliver great customer experiences
Make your teammate successful
Perks
Remote Work Model
Paid Time off
Level up your skills with company-based sponsorship.
Why Join Hurix Digital?
Hurix is scaling its AI Data Services vertical, and this role is at the center of that growth engine.
Youll be backed by strong delivery capabilities, a motivated leadership team, and the autonomy
to shape your own market strategy. We reward results with generous commissions and
long-term growth opportunities.
How to Apply:
Interested candidates are encouraged to send their resume and a cover letter detailing their
relevant experience and accomplishments to harishkarthik.m@hurix.com
Job Classification
Industry: Miscellaneous
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Part time
Contact Details:
Company: Hurix
Location(s): Mumbai

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[Full Time] AI with Python Developer at Cirruslabs

Fri, 23 Jan 2026 12:00:00 +0530

Job Description
We are hiring a talented AI with Python Developer to join our team. If you're excited to be part of a winning team, CirrusLabs ( http://www.cirruslabs.io ) is a great place to grow your career.
Experience - 5-6 years
Location - Bengaluru/Hyderabad
Role Summary
Architect and build agentic systems that interpret context, choose actions, use tools/APIs, and complete multi-step tasks.
Design and implement backend services in Python with AI integration as a primary focus.
Build multi-agent workflows where multiple specialized agents coordinate to achieve goals.
Integrate agents with enterprise systems (APIs, databases, workflow tools) and manage authentication/permissions.
Build prompting strategies and structured system prompts for consistent outcomes and safe tool use.
Implement retrieval-augmented generation (RAG) with embeddings and vector databases to ground responses in enterprise content.

Required Qualifications
Experience on any cloud AI platforms (e.g., Azure AI Foundry / AWS Bedrock / Google Cloud Vertex AI).
Strong proficiency in Python.
Familiarity with Model Context Protocol (MCP) or similar patterns for standardized tool connections.
Experience with agent/LLM orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, Semantic Kernel).
Practical experience with RAG, embeddings, and vector databases.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Cirruslabs
Location(s): Hyderabad

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[Full Time] GCP Data Architect at Calsoft

Fri, 23 Jan 2026 12:00:00 +0530

Job Description

GCP Data Architect
Experience: 12+ Years
Location: Bengaluru / Kolkata / Indore / Pune
Job Description:
Calsoft Inc. is looking for a highly experienced GCP Data Architect to design, build, and optimize modern data solutions. The ideal candidate should have strong expertise in cloud data engineering, data architecture, and data governance.

Key Responsibilities:
Architect and design end-to-end data pipelines using GCP BigQuery and related GCP services.
Work extensively with AWS & GCP technologies such as S3, SQS, Redshift, Kinesis, Google Cloud Storage, Cloud Data Fusion, and BigQuery.
Define and implement data products, data domains, and support initiatives related to MDM, Data Governance, and Data Quality.
Build and optimize large-scale distributed data systems.
Work with NoSQL databases such as MongoDB, DynamoDB, Druid, Hive, Presto, etc.

Required Skills:
Strong experience in cloud-based data architecture (GCP & AWS).
Deep understanding of BigQuery and cloud data integration frameworks.
Exposure to MDM, Data Governance, and Data Quality frameworks.
Hands-on experience with NoSQL technologies.
Excellent communication and solution-design skills.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Calsoft
Location(s): Kolkata

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[Full Time] Python ML Developer(5-10 Years) at Infosys

Fri, 23 Jan 2026 12:00:00 +0530

Job Description
Roles and Responsibilities
Design, develop, test, deploy, and maintain machine learning models using Python programming language.
Collaborate with cross-functional teams to identify business problems and implement data-driven solutions.
Conduct exploratory data analysis, feature engineering, and model evaluation to ensure high accuracy.
Implement deep learning algorithms such as neural networks for complex problem-solving.
Participate in code reviews to ensure adherence to coding standards and best practices.
Desired Candidate Profile
5-10 years of experience in Machine Learning or related field (AI/ML).
Experience working on real-world projects involving large datasets and production environments.
Strong proficiency in Python development with expertise in ML libraries like scikit-learn, TensorFlow, Keras etc. .
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Senior Manager Data Scientist at https://smartmanpower

Thu, 22 Jan 2026 14:50:03 +0530

Job Description

Building and improving Recommendation Engines, Propensity Modelling, Unsupervised Learning, Fraud Detection, Patterns & Visualizations
Good experience in handling text data and should have worked on use cases like Sentiment Analysis, Topic Modeling, Search enhancements, Speech to text etc.
Team management: Manage a team of 2-3 resources.
Improving the Quality, Performance and Effectiveness of the campaigns
Working on various statistical and data science models to test and evaluate them.
Evaluating models and predict performance of data science models using ROC curve and Lift Analysis
Providing expertise to the organization on statistical techniques
Building deep learning based complex systems utilizing structured and unstructured data
Micro segment the base for better upsell of content. Leverage AMS (Audience Measurement system).
Integrate data science models into various campaigns

Job Classification
Industry: Internet (OTT)
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Smart Source
Location(s): Mumbai

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[Full Time] Data Platform Engineer at Accenture HR Aditi

Thu, 22 Jan 2026 14:48:40 +0530

Job Description

About The Role

Project Role :Custom Software Engineer
Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills :SAP FI CO Finance

Good to have skills :NA
Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that project goals are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning and decision-making to enhance application performance and user experience, ensuring that all stakeholders are aligned with the project objectives. Roles & Responsibilities
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Facilitate training and knowledge sharing sessions to enhance team capabilities.
Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical
Skills:

Must To Have
Skills:

Proficiency in SAP FI CO Finance.
Experience in Account Payable(AP) processes, integration with MM modules.
Strong understanding of financial reporting and analysis.
Experience with integration of SAP modules.
Familiarity with project management methodologies.
Ability to troubleshoot and resolve application issues efficiently.
Additional Information
The candidate should have minimum 5 years of experience in SAP FI CO Finance.
This position is based in Hyderabad.
A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Coimbatore

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[Full Time] Retail - Consultant - Retail Specialized Data Scientist at Accenture

Thu, 22 Jan 2026 12:00:00 +0530

Job Description

About The Role Job Title - Retail Specialized Data Scientist Level 9 SnC GN Data & AIManagement Level:09 - ConsultantLocation:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / KolkataMust have skills:
A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions.
Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams.
Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets.
Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns.
Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn).
Expertise in supervised and unsupervised learning algorithms
Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity.

Good to have skills:
Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing.
Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows.
Familiarity with designing scalable and efficient data pipelines and architecture.
Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly.
Job Summary:
The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights.Roles & Responsibilities:
Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs.
Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns.
Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models.
Use AI-driven techniques for personalization, demand forecasting, and fraud detection.
Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases.
Stay updated on the latest trends in data science and retail technology.
Collaborate with executives, product managers, and marketing teams to translate insights into business actions.
Professional & Technical Skills:
Strong analytical and statistical skills.
Expertise in machine learning and AI.
Experience with retail-specific datasets and KPIs.
Proficiency in data visualization and reporting tools.
Ability to work with large datasets and complex data structures.
Strong communication skills to interact with both technical and non-technical stakeholders.
A solid understanding of the retail business and consumer behavior.
Programming Languages:Python, R, SQL, Scala
Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras
Visualization Tools:Tableau, Power BI, Matplotlib, Seaborn
Big Data Technologies:Hadoop, Spark, AWS, Google Cloud
Databases:SQL, NoSQL (MongoDB, Cassandra)

QualificationExperience:Minimum 3 year(s) of experience is required
Educational Qualification:Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Mumbai

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[Full Time] Gen Ai / Ai Ml Engineer at HCLTech

Thu, 22 Jan 2026 12:00:00 +0530

Job Description

Role: AI ML Engineer
Relevant skillset: Machine Learning concepts (Model Evaluation/ Model Deployment/ Model Monitoring)
Python, R, Sklearn, Deep Learning
Supervised, Un-supervised and Reinforcement Learning
Data Analytics & Data Science for solutioning
Relevant technology domains: Experience in designing & implementing solution in mentioned areas:
Strong experience in developing AI/ML models on Google Cloud Platform Core Skills : TensorFlow, Recommendation Systems, Deep Learning, NumPy, Pandas, Sklearn, Python, R, Keras, Statistical Analysis, Computer Vision, PySpark
Professional Summary
Min 4 years of experience in Machine Learning, predictive analytics
4+ years of hands on experience in developing models using Machine Learning and Deep Learning related technologies such as Keras, TensorFlow, pyTorch, GCP AI/ML services.
4+ years of experience in Python, Spark. Experience working in python libraries like TensorFlow, Spark ML, scikit-learn, pandas, NumPy etc.
Software engineering in Python, good with Python SDK, able to build libraries and comfortable in deploying Python codes in production.
Hands on experience on Model deployment and Model Monitoring on any public cloud (AWS/Azure/ GCP). GCP experience is an added advantage
Prior experience of handling Supervised Learning, Un-supervised learning, and Reinforcement learning problems in different industry verticals (Banking/ Finance/ telecom/Retail/ technology etc)
Experience transforming data science prototypes into robust, scalable products running seamlessly in production
Experience with implementing CI/CD principles in the Machine Learning domain (ML Ops)
Exposer to containers and its orchestration (Kubernetes).
Google Cloud Platform: BigQuery, Cloud Composer, Vertex AI & AI/ML services in general
Strong hold of concepts in Statistics and expertise in Machine Logs processing, text mining and text analytics.
Relevant Certifications
Certifications:
Google Professional Cloud architect
Google AI/ML Certification
TenserFlow Certification
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: HCLTech
Location(s): Noida, Gurugram

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[Full Time] AI Ml Engineer at Tech Mahindra

Thu, 22 Jan 2026 11:26:43 +0530

Job Description
Key Responsibilities
Design, develop, and deploy AI/ML models for various business use cases and IT use cases.
Execute end-to-end POCs, from ideation to implementation.
Apply machine learning algorithms such as:
Regression (Linear, Logistic)
Classification (Decision Trees, Random Forest, SVM)
Unsupervised techniques (Clustering, Dimensionality Reduction)
Collaborate with cross-functional teams to understand requirements and deliver innovative solutions.
Optimize models for performance, scalability, and accuracy.
Stay updated with the latest advancements in AI/ML technologies and frameworks.
Document processes, methodologies, and outcomes for stakeholder review.
Proficient in demonstrating solutions to the stakeholders.
Required Skills & Qualifications
Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
Hands-on experience with Machine Learning( Linear Regression, Logistic Regression, KNN etc), Generative AI (RAG, Langchain, Agentic AI, Strands/CrewAI/Langraph, MCP/A2A), LLMs (Claude, Nova, Llama etc), and NLP techniques.
Expertise in data preprocessing, feature engineering, and model evaluation.
Familiarity with cloud platforms (AWS)
Good to have MLOps practices
Ability to quickly prototype and validate ideas.
Excellent problem-solving and analytical skills.
Experience in Streamlit or similar tools for building AI-driven UI
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Tech Mahindra
Location(s): Hyderabad

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[Full Time] AI/Agentic Engineer with FinOps at Cirruslabs

Wed, 21 Jan 2026 14:17:59 +0530

Job Description
Looking for Immediate to 15 Days Joiners Only*

Core Responsibilities:

Developing End-to-end agentic workflows (LangGraph, LangChain etc).
Design tool integrations: APIs, SQL tools, RAG pipelines, automations.
Build RAG pipelines: embeddings, chunking, indexing, hybrid search.
Optimize knowledge retrieval for accuracy + hallucination reduction.
Manage vector DBs (Pinecone/FAISS/We aviate/Chroma DB) and document ingestion.
Job Classification
Industry: Recruitment / Staffing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Cirruslabs
Location(s): Hyderabad

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[Full Time] Senior Analyst / Data Scientist - Data Science at Tiger Analytics

Wed, 21 Jan 2026 12:00:00 +0530

Job Description
Job Title: Senior Analyst / Data Scientist - Data Science

Curious about the role? What your typical day would look like?
As a Data Scientist, your role will involve
Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
Problem Solving: While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
Client Engagement: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.
Algorithmic Expertise: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
Quantitative Mastery: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life
What do we expect?
4 -8 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
Good communication skills, both verbal and written.
Exhibit a fervour for crafting modular, scalable, and bug-free Python code.
Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint.
Experience in production engineering best practices (e.g. Git versioning, Docker).
Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)
Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
Excitement to collaborate with diverse stakeholders across the organisation.
In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.
Hunger to learn new technologies and embrace the change.
Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.
Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.

Kindly share your updated CV to this Mail ID

harichandana.pat@tigeranalytics.com

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Tiger Analytics
Location(s): Hyderabad

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[Full Time] Data Platform Engineer at Accenture HR Aditi

Wed, 21 Jan 2026 12:00:00 +0530

Job Description

About The Role

Project Role :Custom Software Engineer
Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills :SAP FI CO Finance

Good to have skills :NA
Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that project goals are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning and decision-making to enhance application performance and user experience, ensuring that all stakeholders are aligned with the project objectives. Roles & Responsibilities
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Facilitate training and knowledge sharing sessions to enhance team capabilities.
Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical
Skills:

Must To Have
Skills:

Proficiency in SAP FI CO Finance.
Experience in Account Payable(AP) processes, integration with MM modules.
Strong understanding of financial reporting and analysis.
Experience with integration of SAP modules.
Familiarity with project management methodologies.
Ability to troubleshoot and resolve application issues efficiently.
Additional Information
The candidate should have minimum 5 years of experience in SAP FI CO Finance.
This position is based in Hyderabad.
A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Coimbatore

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[Walk-ins] Walkin Drive _data Science(ai/ml)on 23rd Jan(friday)_coforge_hyd at Coforge

Wed, 21 Jan 2026 12:00:00 +0530

Job Description
We are hiring AI/ML Developers and inviting interested candidates for a direct WalkIn Interview on 23rd January.

Before coming for the walk-in, please ensure you have either a gate pass or an email confirmation. Entry will be permitted only with one of these.

if Interested please share details to mounika.tungala@coforge.com

Mode of work : 5 days from office
Total Exp :
Rel Exp :
ctc :
Exp ctc :
current company details :
Notice Period :
availability for the Interview on 23rd January :
current Location :
Role & responsibilities

Lead a cross-functional team in developing scalable, modular AI-powered microservices and integrations.
Translate architectural blueprints into high-quality, production-grade implementations.
Drive LLM integration, prompt engineering, and context management using APIs and vector stores.
Collaborate with architects on AI pipeline optimization, testing automation, and data ingestion frameworks.
Ensure code quality, security compliance, and performance optimization across modules.
Mentor engineers and enforce SOLID principles, CI/CD best practices, and DevOps automation.
Work closely with product owners to deliver AI-driven features on time and at scale. Required Skills & Experience:
4 to 8 years of experience in software engineering, with 2+ years in AI / LLM-based solution development. ? Proficiency in Python, FastAPI / Flask, and cloud services (Azure / AWS / GCP).
Hands-on with LLM APIs (OpenAI, Anthropic, Gemini, etc.), LangChain, and vector databases (FAISS / Chroma / OpenSearch).
Solid understanding of API development, microservice architecture, and containerization (Docker / Kubernetes).
Strong leadership, communication, and problem-solving skills.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Walk-ins
Contact Details:
Company: Coforge
Location(s): Hyderabad

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[Full Time] Sr. Gen Ai Developer / Data Scientist at Zensar

Wed, 21 Jan 2026 07:49:57 +0530

Job Description
Looking for a Senior Data Scientist who is having strong Exp ito Python, AL ML, Generative AI, Python, Langchain , LLM, Pytorch, and Machi Learning

Exp : 7+ Years

Location - Pune , Bangalore, Hyderabad

Thankyou & Regards,

Soniya S
soniya.suryawanshi@zensar.com

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Zensar
Location(s): Hyderabad

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[Full Time] Data Scientist, WW DSP Analytics at Amazon

Tue, 20 Jan 2026 12:00:00 +0530

Job Description
The WW DSP Analytics team is a centralized analytics organization within Amazons Last Mile Delivery Service Partner (DSP) program. We build best-in-class solutions that enable data-driven decision making across our global DSP ecosystem. Our team partners with internal stakeholders, DSP owners, and cross-functional teams to deliver insights that drive operational excellence, business growth, and the success of small business owners in Last Mile delivery. Our work directly impacts customer experience, driver and station associate experience, DSP success, and Amazons sustainable growth. We are seeking a passionate Data Scientist with strong machine learning and analytical skills to join our team. You will work on challenging problems in the delivery planning space, applying data science rigor to generate actionable insights that support DSP performance measurement and continuous improvement. Develop Science Solutions for DSP Performance: Design and implement data science solutions to optimize Delivery Service Partner (DSP) operations, capacity planning, and performance measurement across the global DSP network Apply Advanced Machine Learning Techniques: Leverage solid research experience in Machine Learning and statistical modeling to identify opportunities for improving DSP analytics, forecasting models, and performance measurement systems Optimize DSP Program Policies and Sentiment Risks: Analyze sentiment risks and enhance existing algorithms that support DSP program management, including scorecard metrics, capacity reliability models, and performance evaluation frameworks Analyze Business Requirements with Return on Investment (ROI) calculation: Demonstrate superior logical thinking by quickly approaching large, ambiguous problems, translating high-level DSP program requirements into mathematical models, and applying models to predict the return on investment. Build Production-Scale Analytics: Contribute to the development and deployment of scalable data models, dashboards, and automated reporting systems that enable self-service analytics for DSP stakeholders Accelerate GenAI footprint: Partner with Data Engineers to expand our GenAI tools and improve developer productivity along with raising the bar on data quality. Conduct Independent Data Analysis: Mine and analyze complex datasets across multiple domains (performance metrics, ficial data, operational data) using programming and statistical analysis tools to generate actionable insights Thrive in a Collaborative Environment: Excel in a fast-paced analytics organization that encourages collaborative and creative problem-solving, measure and communicate analytical risks, constructively critique peer work, and align research focuses with DSP program strategic needs Partner Cross-Functionally: Work closely with Business Intelligence Engineers, program teams, and DSP stakeholders to define KPIs, validate analytical approaches, and ensure insights drive meaningful business outcomes 2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of guiding and coaching a group of researchers experience
1+ years of working with or evaluating AI systems experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Masters degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience working on multi-team, cross-disciplinary projects
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Hyderabad

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[Full Time] Senior Software Engineer-AI/ML Developer at CGI

Mon, 19 Jan 2026 12:00:00 +0530

Job Description
Company Profile:
Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

Position: Senior Software Engineer-AI/ML Developer
Experience: 3-6 years
Category: Software Development/ Engineering
Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai
Shift Timing-General Shift
Position ID: J0725-0149
Employment Type: Full Time

Education Qualification: Bachelor's degree in computer science or related field or higher with minimum 3 years of relevant experience.

We are seeking an experienced AI/ML Backend Developer to join our dynamic technology team. The ideal candidate will have a strong background in developing and deploying machine learning models, implementing AI algorithms, and managing backend systems and integrations. You will play a key role in shaping the future of our technology by integrating cutting-edge AI/ML techniques into scalable backend solutions.

Your future duties and responsibilities
Develop, optimize, and maintain backend services for AI/ML applications.
- Implement and deploy machine learning models to production environments.
- Collaborate closely with data scientists and frontend engineers to ensure seamless integration of backend APIs and services.
- Monitor and improve the performance, reliability, and scalability of existing AI/ML services.
- Design and implement robust data pipelines and data processing workflows.
- Identify and solve performance bottlenecks and optimize AI/ML algorithms for production.
- Stay current with emerging AI/ML technologies and frameworks to recommend and implement improvements.

Required qualifications to be successful in this role
Must to have Skills-

Python, TensorFlow, PyTorch, scikit-learn

- Machine learning frameworks: TensorFlow, PyTorch, scikit-learn
- Backend development frameworks: Flask, Django, FastAPI
- Cloud technologies: AWS, Azure, Google Cloud Platform (GCP)
- Containerization and orchestration: Docker, Kubernetes
- Data management and pipeline tools: Apache Kafka, Apache Airflow, Spark
- Database technologies: SQL databases (PostgreSQL, MySQL), NoSQL databases (MongoDB, Cassandra)
- Vector Databases: Pinecone, Milvus, Weaviate
- Version Control: Git
- Continuous Integration/Continuous Deployment (CI/CD) pipelines: Jenkins, GitHub Actions, GitLab CI/CD

Minimum of 3 years of experience developing backend systems, specifically in AI/ML contexts.
- Proven experience in deploying machine learning models and AI-driven applications in production.
- Solid understanding of machine learning concepts, algorithms, and deep learning techniques.
- Proficiency in writing efficient, maintainable, and scalable backend code.
- Experience working with cloud platforms (AWS, Azure, Google Cloud).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.

Good to have Skills-
Java (preferred), Scala (optional)

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: CGI
Location(s): Hyderabad

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[Full Time] PySpark Databricks Developer (5-13 Years) at Infosys

Mon, 19 Jan 2026 12:00:00 +0530

Job Description
Infosys Hirings For PySpark Databricks Developer

Experience: 5-13 Years

Location: Bangalore

Mandatory Skills: PySpark, Databricks, AWS, SQL

Education: Btech/BE, Mtech/ME, BSc/MSc, BCA/MCA
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Data Scientist/AI ML at Chetu

Mon, 19 Jan 2026 12:00:00 +0530

Job Description
Job Title- Data Scientist /AI ML

Job Summary - We are looking for Data Scientist or AI ML Engineer who is having experience into Time Series Forecasting, Climate Forecasting, Satellite Images prediction, Geospatial Image, CNN, LSTM, Deep Learning.

Roles & Responsibilities-

Model Development & Optimization
Enhance model architectures (CNN, ConvLSTM) for autoregressive spatiotemporal predictions
Tune hyperparameters and refine autoregressive loop logic to improve accuracy and stability
Conduct ablation studies, diagnostics, and performance benchmarking across model versions
Deployment & Cloud Infrastructure
Deploy validated models to Google Cloud Platform (GCP) using Vertex AI for training, serving, and prediction
About Chetu India Pvt Lmt.

About Chetu- Founded in 2000, Chetu is a global leader in providing AI & Digital partner, software development solutions and support services. Chetu's dedicated team of technology professionals offers an extensive array of software solutions, including custom application development, enterprise software integration, mobile app development, cloud computing solutions, IOT (Internet of Things) development, artificial intelligence and machine learning solutions, blockchain development, cybersecurity services, data analytics solutions, ERP (Enterprise Resource Planning) implementation, CRM (Customer Relationship Management) customization, and software testing and quality assurance. Chetu's specialized expertise caters to startups, SMBs, and Fortune 5000 companies alike, offering a flexible and scalable software delivery model tailored to each client's unique requirements. Headquartered in Sunrise, Florida, Chetu operates from 13 strategic locations across the United States and internationally

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Chetu
Location(s): Noida, Gurugram

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[Full Time] Director, Principal Engineer, AI and Data Engineering at Pfizer

Mon, 19 Jan 2026 12:00:00 +0530

Job Description

ROLE SUMMARY
Do you want to make a global impact on patient healthDo you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AIJoin Pfizer Digital s Commercial Creation Center and CDI organization (C4) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer s transformation into a digitally driven organization, using data science and AI to change patients lives.

As the Director, Principal Engineer, AI and Data Engineering, you will be a leader within C4 team that leverages best practices from software engineering, data science, and analytics engineering to accelerate data-driven insight generation for the International Commercial business. In this role, you will be a technical advisor for developing and enhancing AI applications and integrating them into the enterprise analytics platform. You will help guide the strategic direction for AI within the International Commercial team while counseling business teams on how to evolve Pfizer International into a data-driven organization. In this process, you will work on diverse projects to close the loop between decisionmakers and data by leveraging software engineering best practices to develop applications with embedded AI. You will also integrate globally with Pfizer data science and AI teams to elevate AI assets to organizational or enterprise solutions for use at Pfizer. The ideal candidate is an expert in software engineering, data science, and AI with experience working in diverse and cross-functional teams, bridging the gap between data, technology, and people, to deliver the promise of AI to improve patients lives.
ROLE RESPONSIBILITIES

Provide thought leadership in developing scalable AI solutions for Pfizer International Commercial model

Design and lead the delivery of end-to-end data science and AI solutions including overseeing data ETL pipelines, server-side logic, ML engineering, frontend development, visualization, IaC, and CI/CD deployment

Lead AI solutions development workstreams by providing expertise, thought leadership, and embodying best practices to drive technical and strategic objectives

Lead discussions in cross functional forums to clarify model design, deployment, insights, and highlight implications to all cohorts of users

Communicate complex technical concepts and insights to both technical and non-technical stakeholders to influence strategic decision-making

Conduct advanced data analysis, predictive analytics, and design algorithms to solve business problems

Mentor junior team members through technical and organizational leadership

Research and apply new algorithms, technologies, and analytics practices to achieve business and technical objectives

Build a sense of trust and rapport that creates a comfortable and effective workplace, and an ability to work as part of an agile team (product owner, developers, etc.)

Represent the company in industry events and help recruit top talent

BASIC QUALIFICATIONS

10+ years of work experience as a software engineer and tech lead for a diverse range of projects

5+ years of hands-on expertise in AI, data science, or software development

2+ years experience as a back-end or full-stack senior/staff/principal software engineer

Computer Science, Engineering, Mathematics, or Statistics majors with data science or software development specialization Computer Science, Engineering, Analytics etc.

Experience with the latest Large Language Models (LLM) public service API s (OpenAI & Claude), prompt engineering techniques, agentic framework (LangChain, Autogen, etc.) and serving concepts (MCP, A2A, etc.)

Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa

Experience in developing and operating analytic workflows and model pipelines that are parametrized, automated and reusable

Experience developing and deploying data and analytic products for use by technical and non-technical audiences

Understanding of data science development lifecycle (CRISP)

Strong hands-on skills in ML engineering and data science (e.g., Python, industrialized ETL software)

Experience with test-driven development and automated testing frameworks (e.g. pytest, pydantic)

Strong hands-on skills in CI/CD integration (e.g. GitHub, GitHub Actions or Jenkins)

Strong hands-on skills in a cloud based analytics ecosystem (AWS, Snowflake, etc)

Fierce curiosity, strong analytical skills, and strong sense of ownership in problem solving

Strong verbal and written communication skills with Chinese and English language proficiency

PREFERRED QUALIFICATIONS

Knowledge of business processes in commercial pharmaceutical domains would be strong plus

Deep expertise with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, or other data science platforms

Industry or consulting experience, along with project management skills strongly preferred

Deep understanding of MLOps principles and tech stack (e.g. MLFlow)

Experience in data ingestion, data warehousing, and data model concepts

Strong hands-on skills for data pipeline orchestration (e.g. Airflow)

Strong hands-on skills in containerization (e.g. AWS EKS, Kubernetes)

Experience with big data technologies (e.g. Spark)

Work Location Assignment: Hybrid
Information & Business Tech
Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Mumbai

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[Full Time] Lead Data Engineer at Confidential

Mon, 19 Jan 2026 12:00:00 +0530

Job Description
Role: Lead Data Engineer
Exp.: 10+ years
Location: Pune, Bengaluru, Hyderabad, Chennai, Gurugram, Noida
Work Mode: Hybrid (3 days work from office)
Key Skills: Snowflake, SQL, Data Engineering, ETL, Any Cloud (GCP/AWS/Azure)

Must Have Skills:

Proficient in snowflake and SQL
4+ years of experience in snowflake and 8+ years of experience in SQL
Atleast 10+ years of experience in data engineering development project
Atleast 6+ years of experience in Data Engineering in the cloud technology
Strong expertise with Snowflake data warehouse platform, including architecture, features, and best practices.
Hands on experience ETL and DE tools
Design, develop, and maintain efficient ETL/ELT pipelines using Snowflake and related data engineering tools.
Optimize Snowflake data warehouses for performance, cost, and scalability.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver data solutions.
Implement data modeling and schema design best practices in Snowflake.
Good communication skills is a must

Good to have skills:

Knowledge of DNA/Fiserv- core banking system
Knowledge of data governance, security, and compliance standards
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Confidential
Location(s): Hyderabad

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[Full Time] Data Science Engineer at Iris Software

Fri, 16 Jan 2026 12:00:00 +0530

Job Description
Basic Qualifications

Bachelors degree in Computer Science, Engineering, Data Science, or equivalent practical experience.

6+ years of data engineering experience in designing, implementing, and optimizing large-scale data systems.

Strong proficiency in Python, with production-level experience in building reusable, scalable data pipelines.

Hands-on expertise with Databricks (Delta Lake, Spark, MLflow), and modern orchestration frameworks (Airflow, Prefect, Dagster, etc.).

Proven track record of deploying and supporting AI/ML pipelines in production environments.

Experience with cloud platforms (AWS, Azure, or GCP) for building secure and scalable data solutions.

Familiarity with regulatory compliance and data governance standards in healthcare or life sciences.

Preferred Qualifications

Experience with event-driven systems (Kafka, Kinesis) and real-time data architectures.

Strong background in data modeling, Lakehouse/lake/warehouse design, and query optimization.

Exposure to AI orchestration platforms and generative AI use cases. Contributions to open-source projects or published work in data engineering/ML.

Agile development experience, including CI/CD, automated testing, and DevOps practices.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Iris Software
Location(s): Pune

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[Full Time] Data Engineer at Einfochips

Fri, 16 Jan 2026 12:00:00 +0530

Job Description
Position: Data Engineer

Role - Data Engineer

Location : Ahmedabad/Indore/Pune

Qualifications:

Bachelor s degree in Computer Science, Data Science, or a related field.

Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips)

Time Type: Full time

Job Category: Engineering ServicesJob for Automation
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Einfochips
Location(s): Pune

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[Full Time] Data Engineer II, International Seller Growth at Amazon

Fri, 16 Jan 2026 12:00:00 +0530

Job Description
Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data tools
Build and maintain high-performance ETL processes that handle large-scale, complex datasets
Architect end-to-end analytical solutions that are highly available, stable, and cost-effective
Transform raw data into actionable insights through effective data modeling and integration
Implement best practices in data system creation, data integrity, and documentation
Proactively identify opportunities for process improvement and automation
Partner with business stakeholders to gather requirements and translate them into technical solutions 3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Hyderabad

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[Full Time] Lead Data Scientist at S&P Global Market

Fri, 16 Jan 2026 12:00:00 +0530

Job Description

About the Role:
Grade Level (for internal use):
11
The TeamAs a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.Whats in it for you:
Be a part of a global company and build solutions at enterprise scale
Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
Contribute to solving high-complexity, high-impact problems end-to-end
Architect and oversee production-ready pipelines from ideation to deployment

Responsibilities:
Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
Own all stages of the data science project lifecycle, including:
Identification and scoping of high-value data science and AI opportunities
Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
Evaluation, interpretation, and communication of results to executive stakeholders
Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
Establish and enforce coding standards, perform code reviews, and optimize data science workflows
Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
Manage stakeholders across functions to ensure alignment and timely delivery

Technical Requirements:
Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
Strong grasp of statistics, probability, and the mathematics underpinning modern AI
Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
Openness to evaluate and adopt emerging technologies and programming languages as needed

Good to have:
Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors)
6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications

Whats In It For YouOur Purpose:Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress.Our People:Our Values:Integrity, Discovery, PartnershipAt S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Health & WellnessHealth care coverage designed for the mind and body.

Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills.

Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global:At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.Recruitment Fraud AlertIf you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
---- Equal Opportunity EmployerS&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
----
20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)
Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: S&P Global Market
Location(s): Hyderabad

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[Full Time] Ai Ml Engineer at Quinnox

Fri, 16 Jan 2026 12:00:00 +0530

Job Description
IMMEDIATE OPENINGS

ROLE - DATA SCIENTIST
LOCATION - BANGALORE & MUMBAI
WORK MODE - HYBRID
SHIFT - 2nd

JD:

Required Skills & Experience:

5+ years in AI/ML, with expertise in LLM, Computer Vision, OCR, and Deep Learning.
Strong knowledge of CNN architectures (ResNet, EfficientNet, YOLO, Mask R-CNN) and Vision-Language Models (VLMs).
Hands-on experience with OCR frameworks (AWS Textract, Azure Form Recognizer, Google Document AI, Mistral OCR).
Proficiency in Python, PyTorch/TensorFlow, and FastAPI/Flask for AI service development.
Cloud experience in AWS/Azure/GCP AI/ML services.
Familiarity with Vector Databases (Pinecone, FAISS, Weaviate) and LLM integration (Bedrock, OpenAI, Hugging Face).
Strong understanding of AI evaluation metrics for LLM's, classification, detection, and OCR use cases.
Excellent communication and stakeholder management skills.
Rupali Karekar

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Quinnox
Location(s): Mumbai

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[Full Time] Gen AI Engineer at Quest Global

Fri, 16 Jan 2026 12:00:00 +0530

Job Description
Role & responsibilities

5 to 8 Years of experience.
- Bachelors degree in computer science, Engineering, or related field
- Proven experience in developing AI Agents using RAG/Graph RAG, Agentic AI skills, NLP, NLI/NLU
- Strong understanding of machine learning algorithms and techniques
- Experience in building and deploying production grade AI Agents
- Excellent problem-solving skills and attention to detail
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Quest Global
Location(s): Bengaluru

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[Full Time] Principal, Data Scientist at Walmart

Thu, 15 Jan 2026 12:00:00 +0530

Job Description
Position Summary... Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and promoting a belonging mindset in the workplace. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. What youll do...
About Team:

The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases.

The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

What youll do:

As a Principal Data Scientist, you ll have the opportunity to

Formulating a strategy and roadmap to design, develop, and deploy AI/ML, NLP and GenAI models into production environments with a focus on reliability and scalability.

Build/Fine-tune state-of-the-art large language models (LLMs) using Walmarts massive datasets.

Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art to drive innovation at scale

Executing full life cycle of projects through planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners.

Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, machine learning prototypes, and the strategic importance of AI initiatives.

Upholding standards, governance, and best practices in AI/ML model development and compliance with model and data governance standards.

Build a strong external presence through publishing your team s work in top-tier AI/ML conferences and developing partnerships with academic institutions

Adhere to Walmart s policies, procedures, mission, values, standards of ethics and integrity

Adopt to Walmart s quality standards, develop/recommend process standards and best practices across the retail industry

What youll bring:

PhD with >8 years of relevant experience / Master s degree with > 10 years of experience / 4-year bachelor s degree with > 12 years of experience . Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.

Minimum of 12+ years of data science experience

Demonstrated history of technology leadership and strong hands-on experience

Proven records of scientific publications or intellectual property generation

Hands-on experience in Large Language Models, Multimodal Vision Language Models, Recommender Systems, Computer Vision, Optimization Models and Reinforcement Learning.

Past experience in strong programming skills across data science, big data and ML engineering stack

Strong communication skills with inclination to high ownership and commitment

Good to haves:

Experience with Ecommerce domain.

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That s what we do at Walmart Global Tech. We re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is and feels included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years experience in an analytics related field. Option 3: 7 years experience in an analytics or related field. Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Walmart
Location(s): Bengaluru

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[Full Time] Technical Project Manager at Prestige Recruiters

Thu, 15 Jan 2026 12:00:00 +0530

Job Description
Job Title: Technical Lead Manager / Technical Project Manager AI & ML Delivery

Location: Bangalore (Lavelle Road)
Experience: 8+ Years
Employment Type: Full Time | Work from Office
Salary: As per market standards

Job Summary:
We are seeking a high-calibre Technical Lead Manager / Technical Project Manager to spearhead our AI and Machine Learning initiatives and drive end-to-end delivery of enterprise-grade AI solutions.
The role requires a strong blend of hands-on AI/ML technical leadership, team management, and project ownership, with the ability to mentor engineers, manage client engagements, and translate advanced AI research into scalable real-world applications.
You will lead a high-performing team of 10 , 12 AI engineers and data scientists, manage multiple AI programs, own customer PoCs and demos, and ensure timely, high-quality production deployments.

Key Responsibilities:
Technical Leadership & Architecture
Provide architectural oversight and technical direction for AI/ML projects including Generative AI (LLMs), Computer Vision, Predictive Analytics, NLP, and data-driven systems.

Review code, ML pipelines, and deployment strategies to ensure scalability, security, and performance.

Guide teams on model training, evaluation, MLOps practices, and production readiness.

Resolve complex technical challenges and delivery bottlenecks.

Project & Delivery Management:
Own end-to-end delivery of AI projects from requirement gathering to production deployment.

Plan sprints, milestones, resource allocation, and delivery schedules using Agile/Scrum methodologies.

Ensure adherence to quality, security, and performance standards.

Identify risks proactively and implement mitigation strategies.

Team Management & Mentorship:
Lead and mentor a team of 1012 AI engineers, data scientists, and developers.

Drive performance reviews, technical growth plans, and team retention.

Foster a high-performance, innovation-driven engineering culture.

Client Engagement & Stakeholder Management
Act as the primary technical point of contact for customers and internal stakeholders.

Translate business requirements into structured technical solutions.

Lead PoCs, demos, and technical presentations for customers and leadership teams.

Collaborate with Product, Sales, and DevOps teams for seamless delivery.

Required Skills & Qualifications Experience:
8+ years in software development or technical delivery roles

34+ years of hands-on experience in AI/ML projects

2+ years in a technical leadership or people management role

Technical Skills:
Strong experience with Machine Learning frameworks: TensorFlow, PyTorch, Scikit-learn, MLflow

Solid understanding of Generative AI, LLMs, Prompt Engineering, RAG pipelines

Experience with MLOps & DevOps for AI solutions

Proficiency in Python, REST APIs

Cloud platforms: AWS / Azure / GCP

Knowledge of data pipelines, analytics, NLP or computer vision is a plus

Management & Communication:
Proven ability to manage teams of 10+ engineers

Strong project planning and stakeholder communication skills

Ability to explain complex AI concepts to non-technical audiences

Excellent client engagement and presentation skills

Education:
Bachelors or Masters in Computer Science, Engineering, Data Science or related field

Masters / PhD preferred

Certifications (Good to have):
PMP / Agile / Scrum Master

Key Performance Indicators (KPIs):
On-time delivery of AI milestones and production deployments

Customer satisfaction after PoCs and demos

Team retention and technical capability growth

Quality, scalability, and stability of AI solutions delivered
Important Notes:
This is a full-time, work-from-office role based in Bangalore (Lavelle Road).

Candidates must be available for in-person interviews and office-based collaboration.

Only candidates with hands-on AI/ML project experience will be considered.

Experience in Generative AI / MLOps will be a strong advantage.

Salary will be offered based on experience, technical depth, and interview performance.

Immediate to 30 days joiners will be preferred.

Shortlisted candidates will be contacted for technical and managerial interview rounds.

Contact Us / How to Apply
Please send your updated resume to:
hr@prestigerecruiters.org
mahima.hr@prestigerecruiters.org
+91 124-4533269
Sankalp Bhadauria +91-8924917152, Mahima Mehta +91- 9311974436

Connect with us:
LinkedIn:https://tinyurl.com/prestigerecruiters03
Instagram: https://tinyurl.com/Prestigerecruiters

Visit our website for more details:
Visit at: www.prestigerecruiters.org
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Prestige Recruiters
Location(s): Bengaluru

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[Full Time] Data Scientist at NTT DATA

Wed, 14 Jan 2026 12:00:00 +0530

Job Description
Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion its a place where you can grow, belong and thrive.
Your day at NTT DATA
The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization.The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.

Key responsibilities:

Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement.

Designs and enhances data collection procedures to include information that is relevant for building analytic systems.

Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.

Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources

Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Directs scalable and highly available applications leveraging the latest tools and technologies.

Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.

Creates SQL queries for the analysis of data and visualizes the output of the models.

Responsible for ensuring that industry standards best practices are applied to development activities.

To thrive in this role, you need to have:

Advanced understanding of data modelling, statistical methods and machine learning techniques.

Strong ability to thrive in a dynamic, fast-paced environment.

Strong quantitative and qualitative analysis skills.

Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.

Curiosity to sift through data to find answers and more insights.

Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.

Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.

Strong ability to create a storyline around the data to make it easy to interpret and understand.

Self-driven and able to work independently yet acts as a team player.

Academic qualifications and certifications:

Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.

Relevant programming certification preferred.

Agile certification preferred.

Required experience:

Advanced demonstrated experience in a data science position in a corporate environment and/or related industry.

Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.

Advanced demonstrated experience in programming languages (R, Python, etc.).

Advanced demonstrated experience working with and creating data architectures.

Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data.

Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.

Workplace type:
Remote Working
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the worlds leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiterswhether in writing or by phonein order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: NTT DATA
Location(s): Hyderabad

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[Full Time] Director of Data Science at ADP

Wed, 14 Jan 2026 12:00:00 +0530

Job Description
ADP is hiring a Director of Data Science.

Are you an experienced leader in Data Science ready for your next-level adventure?

Does the thought of working with one of the most comprehensive employment data sets in the world excite you?

Are you inspired by transformation and making an impact on the lives of millions of people every day?

Are you a technologist first and foremost who approaches every problem wearing that hat while going out of your way to champion creativity and build diverse, productive, and engaged teams?

We are looking for an Applied Scientist Leader to lead the development of next-generation AI-powered solutions for ADP. You will be responsible for creating systems for multi-faceted data analysis, developing advanced personalization and customization techniques, and integrating your solutions into intelligent applications for ADP Products. You will conduct in-depth research, produce production-ready code, and collaborate with a cross-functional team to integrate your work into applications and services. This role requires deep expertise in machine learning, data science, and generative AI. Preferred qualifications include practical experience with machine learning approaches for structured data, graph neural networks, time series modeling, and mathematical optimization. You should have the demonstrated ability to design novel solutions in response to business requirements and to successfully deploy software products that operate at scale.

WHAT YOU WILL DO:

In this role, you'll have access to one of the most unique and largest HCM data sets. It's more than digits and dials - you're making huge decisions that impact millions of customers.

Here's what you can expect on a typical day:

Set up, build, and grow the team. You will work in close collaboration with the leadership team to assemble a world-class team.

Own and manage projects. You will identify, design, develop, and implement advanced and innovative analytical solutions that create high business impact.

Productionize. You will design, implement, and deploy high-performing machine learning/AI models in the Cloud.

Advanced Analytics & Predictive Modeling. You bring prior experience to the role of formulating problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations. You will interact with developers, UX designers, product managers, and senior executives to understand the problem domain, project requirements, user experience, and demonstrate model performance and its business value

Limitless Possibilities. You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within data science that lead to innovations.

Collaboration and Communication. You'll be part of a collaborative team, listening to needs, then finding and sharing solutions. You're comfortable and skilled at presenting to both peers and leadership on your projects and findings.

TO SUCCEED IN THIS ROLE:

PhD in quantitative area and 10+ years experience in Data Science or related field is required, with at least 4 years experience as a Team Leader.

Experience in Python, SQL, distributed computing tools such as Databricks, AWS, or other Cloud platforms; well-versed with Scikit-learn, PyTorch, or other machine learning libraries and platforms.

YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:

Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to find the best solution.

Deliver at epic scale. We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity.

Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.

Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.

Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time
Contact Details:
Company: ADP
Location(s): Hyderabad

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[Full Time] Program Manager - Data Scientist, Sensory and Consumer Experience at Pepsico

Wed, 14 Jan 2026 12:00:00 +0530

Job Description
Overview
The Experience Consumer Research Program Manager Data Scientist, located in Hyderabad (ICC), is responsible for overseeing the Experience Consumer Research team in India Capability Center to ensure exceptional Consumer Research service is provided for EMESA, BI & APAC. This role will coordinate with in-market team leads, serving as the primary touchpoint for R&D leadership to provide feedback, collaborate on strategic initiatives, and continuously identify opportunities to drive for speed-agility ensuring quality and on-time delivery output.
Responsibilities
Project Manager of Consumer Research Transformation for EMESA, BI & APAC including managing timelines, coordinating with category and sector teams, leading delegation of projects, measuring key success metrics, establishing best practices for future expansion into Eastern World. Influence/Consult/Execute
Collaborate with Digital and Data Solutions and EXPerience to create new tools and automated solutions to enable speed and savings for Consumer Research Transformation Decide/Consult/Execute
Work closely with peer in MCC ensuring the same way of working across geographies and share learnings.
Provide progress reports, flag issues with senior stakeholders in Service Delivery team and EXP. Generate User Stories for future improvements Influence/Consult
Work closely with Service Delivery and EXPerience Director to implement, promote & execute EXPerience Transformation vision and mission. Influence/Execute
Be a digital ambassador for data quality and making our data more silver-ready for digitization goals in the future. Generate global data standard template for EXPerience- Influence/Execute
Qualifications
BS in a relevant scientific discipline (e.g. Data Science, Sensory science, Statistics) preferred with a strong theoretical background in statistical analysis techniques, Sensory, and processes.
6-9yrs work experience in a consumer research/insights role preferably in an FMCG environment dependent on degree (minimum 2 yr for BS, for example)
Deep knowledge of data analysis and process methodologies with strong background in Quantitative research methods. Digital Transformation knowledge is a plus.
Horizon scanning and ability to implement in-house cutting-edge consumer transformation methods.
Good understanding/appreciation of the broader business environment and application of technical and commercial knowledge
Advanced English skills
Systems: EyeQuestion, PowerBI, XLStat, Harmoni (reporting), LabVantage, O365
Comprehension and ability to execute on relevant digital technologies impacting business operations.
Advanced data analytics skillset to discover new insights that will guide strategic decisions.
Ability to manage time effectively across multiple priorities and projects requiring a high degree of organizational and communication skills to ensure requests are delivered in a timely manner.
Strong leadership and motivational skills with a track record of identifying and championing new processes for improving fact-based decision making.
Job Classification
Industry: Beverage
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time
Contact Details:
Company: Pepsico
Location(s): Hyderabad

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[Full Time] Senior, Data Scientist (genai, Nlp) at Walmart

Tue, 13 Jan 2026 12:00:00 +0530

Job Description
As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.

What you will do

Collaborate with data scientists, machine learning engineers, and software engineers to design, build, deploy, and operate AI/ML and GenAI systems, including agentic AI solutions, in production environments

Design and implement agentic AI workflows using frameworks such as LangChain, LangGraph, or equivalent , enabling multi-step reasoning, tool use, and autonomous task execution

Architect and manage stateful AI systems , including conversation state, long-term memory, context persistence, and retrieval strategies to support reliable, personalized, and multi-turn experiences

Design end-to-end architectures for GenAI, AI/ML, and data-intensive applications , with a focus on scalability, observability, safety, and cost efficiency

Develop and deploy production-grade real-time and batch ML/GenAI services , supporting low-latency inference, orchestration, and fault-tolerant execution

Partner with product managers to design user journeys, feedback loops, and telemetry strategies that continuously improve agent behavior and system outcomes

Identify and propose AI/ML and agentic AI use cases that improve business processes, and rapidly build MVPs and POCs to validate feasibility and impact

Uphold and advance trustworthy AI practices , including evaluation, guardrails, monitoring, and human-in-the-loop mechanisms for agent-based systems

Collaborate with applied researchers and ML engineers to iterate on models, prompts, tools, memory strategies, and MLOps practices for agentic systems

What you will bring

6+ years of professional experience designing, developing, deploying, and maintaining scalable, production-grade AI/ML and GenAI systems

Bachelor s or Master s degree in computer science, engineering, statistics, mathematics, economics, or a related quantitative field

Strong industry experience building production AI/ML systems , preferably at large technology companies or AI-native startups

Expertise in Python , with a proven track record of writing high-quality, performant, and maintainable production code

Extensive experience with statistical analysis and machine learning frameworks , such as TensorFlow, PyTorch, or equivalent

Hands-on experience designing and deploying GenAI solutions , including Retrieval-Augmented Generation (RAG) systems, prompt engineering, and orchestration patterns

Demonstrated experience building conversational AI systems , such as chatbots, virtual assistants, or dialogue-driven applications, with a strong understanding of NLP, intent classification, entity extraction, and multi-turn conversation flows

Experience managing conversational context, memory, and state , including retrieval strategies, session management, and personalization techniques

Hands-on experience building deep learning systems , including model optimization, deployment, and performance tuning in production environments

Familiarity with agentic AI patterns and frameworks , such as LangChain, LangGraph, or equivalent tools for tool-use, workflow orchestration, and multi-step reasoning

Experience developing and operating distributed machine learning systems at scale , including training, inference, and serving

Experience with CI/CD pipelines, containerization, and orchestration , including tools such as Git and Kubernetes

Ability to collaborate with stakeholders across the organization to advocate for and implement trustworthy AI/ML practices

Strong communication skills , with experience presenting technical concepts, research findings, and product insights to technical and non-technical audiences

A research-driven, detail-oriented mindset , balanced with a bias toward execution and real-world impact

Commitment to engineering excellence , including automation, standards, and continuous improvement

A collaborative and ownership-oriented approach , with a history of clear communication and effective teamwork

A passion for lifelong learning , staying current with advances in AI/ML and GenAI, and engaging with the broader research and open-source communities

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Walmart
Location(s): Bengaluru

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[Full Time] Senior, Data Scientist at Walmart

Tue, 13 Jan 2026 12:00:00 +0530

Job Description
Position Summary... What youll do...
About the team

Sam s Membership Growth Strategy team accelerates acquisition, engagement, and retention for Sam s Club Members. We operate at the intersection of product, marketing, and strategy using advanced analytics, experimentation, and data science to unlock member-centric growth across the business.

What You ll Do

As a Senior Data Scientist, you will partner deeply across Membership, Product, Marketing, and Operations to surface insights, build predictive frameworks, and influence decisions that shape the future of Membership at Sam s Club.

1. Deliver Impactful Analytical Insights

Analyze behavioural, transactional, and digital data to uncover growth opportunities

Conduct deep-dives into acquisition performance, benefit adoption, churn risk, and retention drivers

Identify friction points throughout the membership lifecycle and recommend optimizations

2. Build Advanced Analytical & Predictive Models

Create predictive models such as acquisition propensity, churn risk, CLV, and benefit adoption

Build customer segmentation frameworks to support targeted marketing and personalized experiences

Partner with engineering and data teams to ensure models are usable and integrated into workflows (not full deployment ownership)

3. Experimentation & Causal Measurement

Design, analyze, and interpret A/B tests across product and marketing initiatives

Apply causal inference techniques (e.g., diff-in-diff, uplift modeling, MMM) to measure impact

Translate test results into actionable recommendations for senior stakeholders

4. Influence Membership & Business Strategy

Present insights and recommendations clearly to cross-functional teams

Develop analytical narratives that shape Membership strategy and roadmap decisions

Support planning cycles with forecasting, opportunity sizing, and scenario modelling

5. Collaborate Across the Sam s & Walmart Ecosystem

Work closely with cross-functional partners across Membership, Product, Marketing, Finance, Operations, and Walmart s broader Data & Analytics org.

Partner with Staff and Principal Data Scientists to align analytics to the long-term membership growth vision

What You ll bring

Technical Skills

4-8 years of experience in data science, analytics, or related fields

Strong SQL and Python skills (pandas, scikit-learn, statsmodels)

Hands-on experience with predictive modelling and working with large datasets

Strong understanding of A/B testing, causal inference, and statistical analysis

Experience with cloud data environments (e.g., BigQuery, Snowflake, Spark)

Business & Strategic Skills

Ability to structure ambiguous business problems into analytical solutions

Experience with growth, marketing, product analytics, or membership/subscription models

Strong communication and stakeholder management; can translate data into decisions

Comfort influencing cross-functional partners without formal authority

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That s what we do at Walmart Global Tech. We re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is and feels included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field. Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location... G, 1, 3, 4, 5 Floor, Building 11, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Walmart
Location(s): Bengaluru

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[Contract] Data Science Expert - Nha ( National Health Authority - Delhi) at National Institute

Mon, 12 Jan 2026 08:46:18 +0530

Job Description
Qualification - B.E./ B Tech/ MCA or equivalent from a recognized University or Institution.
7+ Years in consulting with at least 3+ years of working on government assignments Should have worked in at least three (3) projects in government consulting.
Prior experience in statistical analysis, advanced analytics, predictive modelling, big data & related fields Ability to think strategically, handle ambiguity, and problem solve in a fast-paced, limited-structure. High level of proficiency in SQL (or similar tools for handling big datasets), SAS/R or similar tools, hon or , Microsoft Office, particularly Excel, PowerPoint and Word

Jd - Undertake primary and secondary research and deliver data-based insights to provide credible evidence for solving on ground challenges.
Develop and socialize customized tools and templates for priority geographies with the aim of targeting specific challenges facing those geographies.
Innovate new approaches for generating PMJAY insights including but not limited to predictive modelling, clustering techniques and machine learning.
Processing, cleansing, and verifying the integrity of data used for analysis.
Enhancing data collection procedures to include information that is relevant for building analytic systems.
Undertake any other duties as requested by the supervisor.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Contract
Contact Details:
Company: National Institute
Location(s): Delhi, NCR

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