AI/ML Engineer –Embedding Model Fine Tuning (Terrebonne)

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 work with clinical teams to align models with domain needs. Compensation & Benefits

The pay...