Senior Data Science Engineer

2 weeks ago


Delhi, Delhi, India beBeeDataScientist Full time ₹ 20,00,000 - ₹ 25,00,000
Job Overview

A seasoned Data Scientist with expertise in Generative AI, vector embeddings, and retrieval-augmented generation (RAG) is required to join an advanced AI and analytics team.

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  • Design and develop data ingestion and transformation pipelines using Azure Data Lake and Cosmos DB for structured and unstructured data.
  • Implement vector embedding techniques using Azure AI Search, FAISS, and LangChain to support similarity search and semantic retrieval.
  • Develop and optimize RAG (Retrieval-Augmented Generation) pipelines for grounding LLM responses in domain-specific knowledge.
  • Apply document chunking and intelligent metadata tagging to enhance search and response quality in LLM-driven applications.
  • Integrate enterprise data and documents into knowledge bases, making them consumable by LLMs and retrieval systems.
  • Monitor and optimize performance of embeddings, latency, and response quality across deployed AI systems.

Key Skills & Technologies:

- Data Engineering: Azure Data Lake, Azure Cosmos DB, Azure Data Factory
- AI Search & Embeddings: Azure AI Search, FAISS, LangChain, Sentence Transformers
- Generative AI & LLMs: Experience with OpenAI, RAG, prompt engineering
- Data Processing: Document chunking, metadata extraction, tagging, NLP preprocessing
- Knowledge Integration: Building searchable, retrievable knowledge bases
- Performance Optimization: Vector indexing, retrieval latency reduction, embedding tuning
- Programming Languages: Python (strong), SQL
- Tools: Azure ML, Git, Jupyter, REST APIs


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