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 applicationsLLM - Deep experience in working and fine tuning LLM ModelsRe-inforcement Learning and MASVector DatabasesSkills Required
Tensorflow, Cloud Computing, Machine Learning, Algorithms, Data Structures, Version Control, Python, Deep Learning, Api Development