Data Scientist

Job Title:

About the Role

Data Scientist Generative AI Specialist

Key Responsibilities

• Design, develop, and deploy

  Generative AI/Agentic AI solutions

  using LLMs, RAG, and vector-based search.
• Build and optimize

  semantic search pipelines

  leveraging embeddings, Vector DBs (e.g., Faiss, Redis), and knowledge graphs.
• Implement

  prompt engineering strategies

  and integrate with frameworks like

  LangChain and HuggingFace

  .
• Work with cloud platforms (

  Azure OpenAI, Azure ML, Cognitive Services, AWS

  ) for scalable AI deployment.
• Develop and maintain

  MLOps pipelines

  with CI/CD, MLflow, and DevOps best practices.
• Create APIs and microservices using

  FastAPI

  for AI-driven applications.
• Collaborate with cross-functional teams to integrate AI into products and solutions.
• Ensure AI models are production-ready, optimized for performance, and aligned with business goals.

Skills Required

• Generative AI, Agentic AI, LLMs, NLP, RAG

• Knowledge Graphs, Prompt Engineering, VectorDB (Faiss, Redis), Embeddings, Semantic Search

• Azure OpenAI, Azure Cognitive Services, AzureML, AWS, Databricks

• LangChain, HuggingFace, Python, FastAPI

• MLOps, CI/CD, MLflow, DevOps