Data Scientist – Generative AI Specialist

About the Role

Data Scientist – Generative AI Specialist

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

  .