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Senior Technical Consultant - Data and AI @ Ahead

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 Senior Technical Consultant - Data and AI

Job Description

We are seeking an experienced and skilled Senior Data & AI Engineer to join our team and assist in leading client-facing project delivery. In this role, you will be responsible for developing and deploying advanced machine learning models and AI solutions that drive business value and enable data-driven decision making for our customers. Additionally, you will play a crucial role in pre-sales activities, project scoping, and educating stakeholders on data science and machine learning concepts. Roles and Responsibilities: 
  • Assist our customers in identifying, evaluating, and prioritizing AI-ready use cases.
  • Design, develop, and implement complex machine learning, large language and agentic models and algorithms to solve real-world business problems.
  • Collaborate with cross-functional teams, including data engineers, analysts, and subject matter experts, to understand business requirements and translate them into data science solutions.
  • Lead client-facing project teams of AHEAD Data and AI experts.
  • Develop and train custom ML models using frameworks such as Scikit-Learn, TensorFlow or PyTorch.
  • Leverage Jupyter-based environments for exploratory data analysis, model development, and deployment.
  • Communicate complex technical concepts and findings to stakeholders and leadership in a clear and concise manner.
  • Mentor and provide guidance to junior AI Engineers.
  • Participate in pre-sales activities, including project scoping, estimation, and solution design.
  • Educate clients and stakeholders on data science and machine learning concepts, methodologies, and best practices.
  • Contribute to the development and enhancement of AHEAD's Data &AI service offerings and thought leadership.
    •  Qualifications: 
  • Bachelors or masters degree in computer science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5 years of experience in a data science-related role, with a focus on machine learning and deep learning.
  • Strong Python coding skills with an emphasis on writing efficient, scalable, and maintainable code.
  • Experience with developing and training custom deep learning models using TensorFlow, PyTorch, or scikit-learn.
  • Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, nVidia AI Enterprise & DGX platforms
  • Hands-on experience with leading open source and major model providers such as LLama, Anthropic's Claude, Open AI. Etc.
  • Solid understanding of transformer architectures, attention mechanisms, and other advanced deep learning concepts.
  • Knowledge of generative AI concepts, including fine-tuning, transfer learning, and RAG methods.
  • Experience with the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing.
  • Strong communication and collaboration skills, with the ability to present complex technical information to both technical and non-technical audiences.
  • Experience in pre-sales activities, including project scoping, estimation, and solution design.
    •  Nice to Have: 
  • Bachelors or masters degree in computer science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5 years of experience in a data science-related role, with a focus on machine learning and deep learning.
  • Strong Python coding skills with an emphasis on writing efficient, scalable, and maintainable code.
  • Experience with developing and training custom deep learning models using TensorFlow, PyTorch, or scikit-learn.
  • Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, Nvidia AI Enterprise & DGX platforms
  • Hands-on experience with leading open source and major model providers such as LLama, Anthropic's Claude, Open AI. Etc.
  • Solid understanding of transformer architectures, attention mechanisms, and other advanced deep learning concepts.
  • Knowledge of generative AI concepts, including fine-tuning, transfer learning, and RAG methods.
  • Experience with the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing.
  • Strong communication and collaboration skills, with the ability to present complex technical information to both technical and non-technical audiences.
  • Experience in pre-sales activities, including project scoping, estimation, and solution design.

    • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Technical Lead
    Employement Type: Full time

    Contact Details:

    Company: Ahead
    Location(s): Noida, Gurugram

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    Keyskills:   ai algorithms python data analysis generative ai mathematics ai solutions aws sagemaker machine learning sales ai engineer deep learning tensorflow open source data science use cases pytorch aws azure statistics ml

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