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
Senior ML Platform Engineer in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.