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Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.

The Infrastructure Engineer will build and maintain cloud infrastructure, develop CI/CD pipelines, ensure security compliance, and optimize system performance for healthcare applications.

Build and deploy integrations between the Bayesian platform and large EHR systems, implement automated integration and end-to-end tests, support production deployments and go-lives, develop tooling and automation (including LLMs), and collaborate with implementation and clinical teams to deliver clinician-facing workflows.

Build and maintain data integration interfaces and ingestion pipelines between EHR systems and the Bayesian platform. Collaborate with client technical teams, implement automated integration tests, deploy and support go-lives, troubleshoot data correctness end-to-end, and develop tooling and automation (including LLM-driven) to scale integrations.

Lead revenue growth by developing and executing sales strategies, managing relationships with healthcare executives, and mentoring teams to exceed targets.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

As Director of AI/ML, lead the ML organization, set technical vision, mentor a high-performing team, and contribute to model development and production deployment.