Position1: Principal Data Scientist (JC:) • Leads the pod, provides technical guidance, ensures productivity from day one. • Must need the exp in • Deep expertise in AI, LLMs, RAG, embeddings, transformers, and healthcare data extraction. • Not a managerial role but a technical leadership position. Position2: Lead Data Scientists (JC:) • Support the principal in technical execution. • Strong background in transformer architectures, fine-tuning, and healthcare data projects. • Experience with embedding models, RAG, and knowledge graphs is important. Position3: Senior Data Scientists (JC:) • Support the principal in technical execution. • Strong background in transformer architectures, fine-tuning, and healthcare data projects. • Experience with embedding models, RAG, and knowledge graphs is important. • Advanced skills in LLMs, RAG, embedding databases, vectors, and knowledge graphs. • Experience training custom embedding models and applying RAG techniques. • Focus on extracting structured data from unstructured clinical notes and improving documentation completeness. • Technologies: OpenAI, agentic approaches, custom model architectures.