Data scientist

Key Responsibilities:
- Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval.
- Fine-tune or adapt foundation models using domain-specific data.
- Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, Chroma DB).
- Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs.
- Develop custom prompts and prompt chains using tools like Lang Chain, Llama Index, Prompt Flow, or custom frameworks.
- Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost.
- Stay up to date with the latest trends in LLMs, transformers, and Gen AI architecture.
Required Skills:
- 5+ years of experience in Data Science / ML, with 1+ year hands-on in LLMs / Gen AI projects.
- Strong Python programming skills, especially in libraries such as T...