Develop and improve machine learning models for clinical AI products, from data curation and experimentation through validation, deployment, and production monitoring. Partner with clinicians, software engineers, product teams, and quality colleagues to evaluate robustness, optimize inference, document results, and support regulated product delivery. Mentor colleagues and make evidence-based technical decisions.