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Design, build, deploy, and operate scalable production ML and AI systems (batch and real-time) to predict KPIs and optimize provider network operations. Own end-to-end model lifecycle including feature engineering, training, deployment, monitoring, CI/CD, and experiment tracking. Collaborate with product, engineering, clinical and business stakeholders, implement production-quality code (Python, Spark, SQL), and integrate LLMs, RAG, and other AI capabilities to deliver measurable business and clinical outcomes.