Data Scientist – Generative AI Specialist

4 days ago

Alwar, Rajasthan, India Continental HR Solutions Full time US$ 1,25,000 - US$ 1,75,000 per year

About the Role

We are looking for a
Data Scientist – Generative AI Specialist
with strong expertise in
LLMs, Agentic AI, RAG pipelines, and NLP applications
. The ideal candidate will have hands-on experience in building and deploying generative AI solutions, leveraging Azure AI services, vector databases, and modern MLOps practices.

Key Responsibilities

  • Design and implement
    Generative AI and Agentic AI solutions
    using LLMs and NLP techniques.
  • Build and optimize
    RAG pipelines, embeddings, semantic search, and knowledge graph–driven systems
    .
  • Develop
    prompt engineering strategies
    for improving LLM accuracy and efficiency.
  • Work with
    Azure AI stack (Azure OpenAI, Cognitive Services, Azure ML)
    for AI solution development.
  • Deploy and orchestrate AI applications using
    LangChain, Hugging Face, and agentic AI frameworks
    .
  • Integrate AI solutions with
    vector databases (Faiss, Redis, etc.)
    .
  • Collaborate with MLOps and DevOps teams to establish
    CI/CD pipelines, MLflow tracking, and scalable deployments
    .
  • Write production-grade code in
    Python, FastAPI
    , and ensure robust API integrations.
  • Collaborate with cross-functional teams to
    debug, optimize, and continuously improve AI models
    .

Required Skills

  • Generative AI, Agentic AI, LLMs, NLP
  • RAG pipelines, Knowledge Graphs, Prompt Engineering
  • Azure OpenAI, Cognitive Services, Azure ML
  • LangChain, Hugging Face
  • Python, FastAPI, OpenAI APIs
  • Vector Databases (Faiss, Redis)
  • Embeddings & Semantic Search
  • MLOps, CI/CD, DevOps, MLflow
  • Cloud platforms: Azure, AWS, Databricks

Who Should Apply

  • 3+ years of experience in Data Science with a
    focus on Generative AI applications
    .
  • Strong problem-solving, debugging, and optimization skills.
  • Passionate about building next-gen AI systems that are
    scalable, reliable, and production-ready
    .

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