Client is seeking a hands-on Data Scientist to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.

• Required Qualifications
• Experience in software engineering or data science, with in Gen AI or LLM-based systems.
• Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
• Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).
• Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP).
• Experience with REST API development (FastAPI, Flask) and containerization (Docker).
• Solid understanding of AI governance, model safety, and prompt engineering.

• Key Responsibilities
• Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).
• Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.
• Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search.
• Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
• Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.
• Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.
• Evaluate model performance using tools like RAGAS, DeepEval, and FMeval.
• Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.