Job Description

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, LlamaIndex, 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 GenAI architecture.

Required Skills:

  • 5+ years of experience in Data Science / ML, with 1+ year hands-on ...

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