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AI Research Engineer (Staff) - Engineering Transformation
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AI Summary
Build, train, and validate machine learning models for clinical and operational healthcare data products. Productionize models, support AI/LLM workflows, and ensure compliance with healthcare regulations. Requires 3–5 years of ML engineering experience, Python/SQL proficiency, and familiarity with healthcare datasets.
Key Responsibilities
Build, train, and validate machine learning models for healthcare data products.
Productionize AI/ML models into APIs, batch, and streaming workflows.
Support AI/LLM-driven workflows, including document processing and RAG components.
Ensure compliance with healthcare regulations (HIPAA, FedRAMP, etc.).
Monitor and troubleshoot deployed model performance.
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Technical Skills Required
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Nice to Have
Experience with vector databases and embeddings.
OCR and document AI tools expertise.
Containerization and orchestration (Docker, Kubernetes).
Healthcare data governance frameworks (NIST, HITRUST).
Job Description
About the Company
Commence is a healthcare-focused data and technology company working to improve health outcomes and make healthcare processes more efficient. The company combines data-driven solutions, technology, and clinical expertise to support better care.
About the Role
Commence is seeking an AI/ML Engineer to build, train, and validate machine learning models that support clinical and operational data products across the healthcare ecosystem. The role also involves helping productionize models, supporting document processing pipelines, and developing AI/LLM-driven workflows.
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