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Senior Data Scientist Engineer @ Infobeans

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Infobeans  Senior Data Scientist Engineer

Job Description

What Will Your Role Look Like

  • Develop end-to-end data science and GenAI solutions for enterprise data products.
  • Design, build, and deploy predictive models, advanced ML algorithms, and GenAI systems that drive actionable insights.
  • Collaborate with business teams to understand analytics needs and translate them into technical solutions.
  • Work on RAG pipelines, knowledge graphs, and hybrid AI search systems.
  • Conduct research, rapid prototyping, and experimentation on state-of-the-art AI/ML/LLM technologies.
  • Monitor and optimize model performance in production using modern MLOps practices.
  • Mentor junior team members and contribute to best practices in AI/ML development.

Why You Will Love This Role

  • Opportunity to work on cutting-edge AI/ML and GenAI technologies like LLMs, LangChain, vector DBs, and advanced deep learning frameworks.
  • Freedom to innovate, experiment, and build industry-leading AI solutions.
  • Work in a collaborative environment with product managers, architects, and cross-functional teams.
  • Access to enterprise cloud ecosystems such as AWS, Azure, or GCP for full-scale model development and deployment.
  • Be part of impactful AI initiatives that directly contribute to business growth and digital transformation.
  • Culture that values entrepreneurial mindset, proactiveness, and innovation.

We Would Like You to Bring Along

  • 5+ years of experience in data analytics, data science, AI/ML, or NLP roles.
  • Strong proficiency in Python (mandatory) or R.
  • Hands-on experience with traditional and modern ML techniquesRegression, Classification, Ensemble models, Deep Learning, NLP/NLU, Forecasting, Anomaly Detection.
  • Expertise with deep learning frameworks: TensorFlow or PyTorch.
  • Experience building GenAI solutions using LangChain/LlamaIndex and modern LLM models (OpenAI, Mistral, Llama, Anthropic, etc.).
  • Strong understanding of model evaluation, validation, and alignment with business objectives.
  • Experience with SQL, Pandas, Spark, and feature store technologies (Feast/Tecton).
  • Cloud expertise with AWS/Azure/GCP, ideally including AI services, SageMaker, Vertex AI, or Bedrock.
  • Familiarity with MLOps tools like MLflow, Kubeflow, SageMaker pipelines.
  • Ability to translate business problems into analytical solutions with a strong ownership mindset.
  • Fluent in English and comfortable working in Agile environments.

Good-to-Have Skills

  • Knowledge of multi-modal AI (vision-language, diffusion models, speech AI).
  • Experience with knowledge graph construction and semantic search.
  • Prior experience with domain-specific model fine-tuning or custom pipeline orchestration.
  • Contributions to open-source AI/ML projects, publications, or participation in AI communities.
  • Experience with vector databases such as Pinecone, FAISS, Weaviate, Milvus.

Location - Pune , Viman Nagar, Pune , Baner, Indore

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: Infobeans
Location(s): Indore

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Keyskills:   Data Science Predictive Modeling Artificial Intelligence Machine Learning Python

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Infobeans

InfoBeans Systems is a fast growing software development company with offices in Pune and Indore and business development centre in US. We develop customized business applications for large and mid-size organizations in the US. We strongly believe that customer success defines our success. Hence, we...