
Senior Data Science Engineer
2 weeks ago
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.
">- 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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