Description

6+ years in Data Science / ML Engineering, with deep experience in LLM‑based systems.
Strong background in RAG, embeddings, retrieval optimization, and evaluation.
Expertise in NLP, transformers, deep learning, and model fine‑tuning.
Proven experience building multi-agent architectures (planner‑executor, tool‑use agents, ReAct‑style reasoning).
Proficiency with PyTorch, HuggingFace, LangChain/LlamaIndex, RAG, Kubernetes, and vector databases.

Key Skills

Education

Any Graduate