What You Need Preferably Masters in Computer Science, Computer Engineering or other relevant fields 4+ years of experience in Data Science. Familiarity with Prompt Engineering and working experience in fine tuning LLMs Hands-on experience of working with Multi-Agent Systems with Frameworks like CrewAI/Langchain/Autogen (One of them is a must) and Prompt engineering. Hands-on with Vector Databases such as ChromaDB, FAISS etc Experience in Reinforcement learning (RL), specially for autonomous agents. Working experience with Embedding models and RAG design. Strong hands-on experience in Python - building enterprise applications along with optimization techniques, along with working with API integrations (Fast API/Django) Hands on experience with at least one ML platform from amongst Databricks, Azure ML, Sagemaker Good to have - Comfortable with Docker, Kubernetes, AWS cloud technologies, Snowflake and also some experience in Healthcare. Preferred Skills Python - Building highly scalable and performant applications LLM - Deep experience in working and fine tuning LLM Models Re-inforcement Learning and MAS Vector Databases

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