Principle Data Scientist

Strong background in RAG, embeddings, retrieval optimization, and evaluation.

• 6–12+ years in Data Science / ML Engineering, with deep experience in LLM‑based systems.
• Expertise in NLP, transformers, deep learning, and model fine‑tuning.
• Experience with model distillation, LoRA/QLoRA, PEFT, and model compression.
• Proficiency with PyTorch, HuggingFace, LangChain/LlamaIndex, Ray, Kubernetes, and vector databases.
• Mentor DS/ML engineers and contribute to long‑term AI strategy and architecture.