Data Scientist- Generative AI Specialist

2 days ago

Noida, Uttar Pradesh, India VLaunchU Full time ₹ 2,20,00,000 per year

Job Title:
Data Scientist – Generative AI Specialist

Location:
Noida, India

Job Type:
Full-Time

Experience Required:
3+ years in Data Science with a strong focus on Generative AI

Budget:
Up to 22 LPA

Notice Period:
Immediate

About the Role

We are looking for an experienced
Data Scientist – Generative AI Specialist
to design, develop, and optimize cutting-edge AI solutions. The ideal candidate will have hands-on expertise in Generative AI, Agentic AI, LLMs, and advanced NLP, along with experience deploying AI models at scale in enterprise environments.

Key Responsibilities

  • Build, fine-tune, and deploy
    Generative AI
    and
    LLM
    -based solutions.
  • Implement
    Retrieval-Augmented Generation (RAG)
    pipelines, embeddings, and semantic search.
  • Develop and manage
    Knowledge Graphs
    to enhance reasoning and context.
  • Apply
    Prompt Engineering
    best practices to improve AI output quality.
  • Work with
    Azure AI ecosystem
    – Azure OpenAI, Cognitive Services, Azure ML.
  • Leverage
    LangChain
    and other Agentic AI orchestration frameworks for intelligent automation.
  • Utilize
    Hugging Face
    for model training, customization, and deployment.
  • Integrate and optimize AI models using
    FastAPI
    , Databricks, and AWS services.
  • Manage
    MLOps pipelines
    using CI/CD, MLflow, and DevOps tools.
  • Work with vector databases (
    Faiss, Redis
    ) for storage and retrieval of embeddings.
  • Troubleshoot, debug, and improve AI systems for performance and reliability.

Required Skills & Experience

  • 3+ years
    of Data Science experience, with a focus on Generative AI, Agentic AI, LLMs, and NLP.
  • Strong Python programming skills for AI application development.
  • Expertise in
    RAG
    ,
    Knowledge Graphs
    ,
    Prompt Engineering
    .
  • Proficiency with
    Azure OpenAI
    , Cognitive Services, Azure ML.
  • Hands-on experience with
    LangChain
    , Hugging Face, and vector DBs (Faiss, Redis).
  • Familiarity with
    FastAPI
    , Databricks, AWS, MLflow.
  • Solid background in
    MLOps
    , CI/CD pipelines, and AI deployment optimization.

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