We are looking for a 10+ year AI/ML Engineer to fine‑tune candidate embedding models on client‑specific clinical documents for use in the enterprise patient document vector store. This role will evaluate model performance through a structured framework and ensure compliance with healthcare standards.

Responsibilities

• Select and fine‑tune one or two embedding models on client clinical data.
• Run models through the evaluation framework for accuracy and relevance.
• Collaborate with physicians/clinicians to source and validate training data.
• Ensure compliance with PHI, consent checks, and privacy regulations.
• Contribute to enterprise‑scale vector store integration.

Requirements

• Strong background in AI/ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience with embedding models and vector databases.
• Knowledge of RAG strategies and healthcare data compliance.
• Ability to ...