Senior ML Platform Engineer

Job Summary

Owning the path from prototype to production, the full-time Senior ML Platform Engineer will design and build deployment pipelines, evaluation frameworks, and monitoring systems for a clinical AI system, ensuring its reliability and functionality in a remote work environment.

Key responsibilities

• Deploy and version ML artifacts, establishing observability for existing systems and monitoring health safety evaluations
• Build evaluation infrastructure and own CI/CD processes for ML artifacts, enhancing production reliability
• Collaborate with data scientists to ensure seamless integration of their work into production while continuously evolving the platform

Required qualifications

• Proven experience building production ML infrastructure, including deployment pipelines and monitoring systems
• Strong software engineering background with expertise in distributed systems, containerization, and CI/CD
• Ability to own projects end-to-end, identifying needs and proposing solutions independently
• Experience working effectively in small teams with clear communication and accountability
• Familiarity with healthcare or regulated industries is a plus