Gen AI(Azure+ ML) - Gurugram

5 - 10 years

10 - 20 Lacs

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title:

Location:

Job Overview:

Generative AI Developer

Key Responsibilities:

  • Design and develop scalable

    Gen AI solutions

    using

    Azure OpenAI

    , Cognitive Services, and Azure ML.
  • Build and deploy ML models for tasks like classification, regression, and recommendation.
  • Implement

    RAG (Retrieval-Augmented Generation)

    architectures using vector databases (e.g., ChromaDB, FAISS, Azure Search).
  • Orchestrate LLM workflows using tools like

    LangChain

    ,

    Transformers

    , or

    LlamaIndex

    .
  • Develop APIs/microservices to expose GenAI and ML capabilities for downstream integration.
  • Collaborate with cross-functional teams including data engineers and product managers to deploy solutions in production.
  • Ensure scalability, cost-efficiency, and security of AI/ML workloads on Azure.

Must-Have Skills:

  • Strong experience with

    Azure OpenAI

    ,

    Azure Cognitive Services

    , and

    Azure Machine Learning Studio

    .
  • Proficiency in

    Python

    ,

    Transformers

    , and

    ML frameworks

    (scikit-learn, PyTorch, or TensorFlow).
  • Experience with

    LangChain

    ,

    embedding models

    , and

    vector search

    technologies.
  • Understanding of ML lifecycle: data processing, feature engineering, model training, evaluation, and deployment.
  • Experience building

    RESTful APIs

    for model consumption.
  • Familiarity with

    version control

    ,

    DevOps practices

    , and containerization (Docker).

Nice to Have:

  • Knowledge of

    prompt engineering

    ,

    fine-tuning LLMs

    , or

    custom training

    .
  • Exposure to

    MLOps

    tools like MLflow or DVC.
  • Experience with

    Power BI

    ,

    Azure Synapse

    , or

    Databricks

    is a plus.
  • Prior experience working in domains like finance, retail, or legal tech.

Preferred Certifications:

  • Microsoft Certified:

    Azure AI Engineer Associate (AI-102)

  • Microsoft Certified:

    Azure Data Scientist Associate (DP-100)

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