Azure Gen Ai Lead

8 - 12 years

10 - 20 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities

  • Lead the development and deployment of

    Generative AI models

    using

    Azure OpenAI

    ,

    LLMs

    , and

    Agentic AI

    frameworks.
  • Architect and implement

    end-to-end AI solutions

    on

    Azure Machine Learning

    ,

    Azure OpenAI

    , and

    SageMaker

    (as needed).
  • Design and optimize

    Natural Language Processing (NLP)

    pipelines for enterprise-grade applications.
  • Apply

    Retrieval-Augmented Generation (RAG)

    and

    neural network architectures

    to enhance model performance.
  • Collaborate with cross-functional teams to understand business needs and translate them into AI-driven solutions.
  • Ensure best practices in

    model governance

    ,

    security

    , and

    compliance

    within the Azure ecosystem.
  • Guide and mentor junior engineers and data scientists in GenAI development and deployment.
  • Stay current with advancements in

    Generative AI

    ,

    LLMs

    , and

    cloud-native ML platforms

    .

Your Profile

  • 10+ years

    of experience in

    Machine Learning

    ,

    Deep Learning

    , and

    AI

    , with at least

    3+ years

    in

    Generative AI

    .
  • Proven experience with

    Azure OpenAI

    ,

    Azure Machine Learning

    , and

    LLM-based solutions

    .
  • Strong understanding of

    Agentic AI

    ,

    RAG

    , and

    neural networks

    .
  • Proficiency in

    Python

    and AI/ML frameworks such as

    TensorFlow

    ,

    PyTorch

    , etc.
  • Experience with

    cloud platforms

    including

    Azure

    ,

    AWS SageMaker

    , and

    Google Vertex AI

    .
  • Ability to design, implement, and scale

    AI models

    for production environments.
  • Strong analytical and communication skills to interpret complex data and present insights to stakeholders.
  • Familiarity with

    AI platform capabilities and limitations

    , ensuring optimal solution design.

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