Data Scientist

Big 4 Hiring for Data Scientist (Immediate Joiners)

Job Description:
We are looking for an experienced Data Scientist with 3-5 years of hands-on experience in Generative AI, Python, and the Microsoft Azure ecosystem. The ideal candidate will have strong expertise in building RAG-based applications, multi-agent systems, and LLM-powered solutions using frameworks such as LangChain and LangGraph.

This is a confirmed requirement, and we are looking for candidates who can contribute immediately to the design, development, and deployment of production-grade GenAI solutions.

Key Responsibilities

• Design and develop Generative AI and LLM-powered applications using Python.
• Build and optimize Retrieval-Augmented Generation (RAG) solutions.
• Develop Multi-Agent Systems using LangGraph and LangChain.
• Integrate and work extensively with Azure OpenAI and other Azure AI services.
• Design search and retrieval pipelines using Azure AI Search.
• Work with Azure Cosmos DB for storing and managing application data and conversational/contextual information.
• Develop robust prompt, retrieval, orchestration, and response-generation workflows.
• Use LangSmith for LLM application tracing, evaluation, debugging, and observability.
• Evaluate model and application performance and continuously improve response quality, relevance, and latency.
• Collaborate with Data Scientists, ML Engineers, Software Engineers, and business stakeholders to deliver scalable AI solutions.
• Deploy and support GenAI applications in the Azure cloud environment.

Required Skills

• 3-5 years of experience in Data Science / Machine Learning / AI.
• Strong programming experience in Python.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Strong understanding and implementation experience of RAG architectures.
• Hands-on experience with:
• LangChain
• LangGraph
• LangSmith
• Multi-Agent Systems
• Strong experience with Azure services, particularly:
• Azure OpenAI
• Azure AI Search
• Azure Cosmos DB
• Good understanding of embeddings, vector search, chunking, retrieval strategies, prompt engineering, and LLM orchestration.
• Experience building scalable and production-ready GenAI applications.

Preferred Skills

• Experience with LLM evaluation and observability.
• Knowledge of vector databases and semantic/hybrid search.
• Experience with REST APIs, FastAPI, or similar Python frameworks.
• Familiarity with Azure deployment, CI/CD, and cloud-native application development.
• Understanding of AI/ML model evaluation and experimentation.