Extensive hands-on experience of frameworks and libraries:

• Proficient inscikit-learn and SciPyfor ML algorithms
• Hands-on experience within python withPyTorchand experience in developing enterprise python applications
• Skilled in natural language processing tasks (entity recognition, tokenization etc)
• Strong knowledge ofAPI/Microservices, Async programming, multithreading, performance, reliability, caching, event driven design, data pipelines, workflows, queues
• Hands-on with Amazon SageMaker for building, training, and deploying scalable machine learning models in cloud.
• Experience of Building rapid applications usingFastAPI and Streamlit,Matplotlib, seaborn enabling prototyping.
• Good understanding of Software Engineering, Architecture, testing, code quality principles and test driven development (TDD)

Must Have:

Generative AI & LLMs

• Proficient in context-aware prompts to drive optimal performance fromLLMsfor summarization, reasoning, extraction, and classification tasks.
• Hands-on experience in designing intelligent retrieval pipelines that combinevector databaseslike FAISS with semantic search mechanisms.
• Should have Developed intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as ReAct, LangChain/Langgraph.
• Experience of Clustering techniques and classification models