Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We are looking for a motivated, responsible, and self-directed Machine Learning Platform Engineer to maintain and enhance our cloud-scale ML platform. In this critical role, you will lead the integration of ML models with clinical workflows—particularly within Epic EHR systems—and implement best practices in ML Ops to ensure reliability, scalability, and reproducibility. While experience with ML Ops/DevOps practices is beneficial, direct machine learning experience is not required. We prioritize enthusiasm, ownership, and eagerness to learn. Principal Duties And Responsibilities Maintain and continuously develop our ML platform, ensuring reliable operation and scalability. Integrate ML models seamlessly into clinical workflows, with a particular focus on integration within Epic EHR systems. Implement and manage ML Ops best practices, including model deployment, monitoring, version control, and reproducibility. Facilitate the deployment, scaling, and management of dockerized pipeline containers Lead the development and improvement of user interfaces (ReactJS) Expand the ML platform’s capabilities, including support for Large Language Models (LLMs). Perform SQL-based data queries for efficient ingestion, extraction, and preparation of datasets. Generate and maintain high-quality datasets tailored to ML research and clinical studies. Oversee quality assurance processes, documentation standards, and best practices for the ML platform infrastructure. Qualifications Data engineering, ML Ops, clinical integration, software engineering, or related roles. Clinical informatics systems, particularly Epic EHR integration. Familiarity with healthcare data standards and interoperability (HL7, FHIR). Proficiency in Python programming. Experience with frontend/UI frameworks, especially ReactJS. Strong experience in containerization and orchestration using Docker and Kubernetes. Familiarity with cloud services and microservice architectures (AWS or GCP, specifically services such as SQS, S3). Understanding of software best practices, including version control (Git), continuous integration/deployment, and quality assurance processes. Excellent communication skills, attention to detail, and the ability to collaborate effectively in a multidisciplinary team. Education Bachelor's Degree Computer Science required or Bachelor's Degree Related Field of Study required Can this role accept experience in lieu of a degree? Yes Work Details Hybrid, 40 hours a week, Day shift (United States of America), Regular employee Pay Range: $73,798.40 - $107,400.80/Annual EEO Statement The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law.

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