Machine Learning Platform Engineer

Machine Learning Platform Engineer

Title:

Machine Learning Platform Engineer
Company:
Massgeneralbrigham (The Brigham and Women's Hospital, Inc., a part of Mass General Brigham)

Location:

Boston, MA (On-site, Remote)
Salary: $73.80K - $107.40K/yr
Job Type: Full-time
Posted: 13 hours ago

Job Description

The Brigham and Women's Hospital, Inc., a part of Mass General Brigham, is seeking a Machine Learning Platform Engineer to maintain and enhance our cloud-scale ML platform.

• Maintain and develop the ML platform.
• Integrate ML models into clinical workflows, especially within Epic EHR systems.
• Implement ML Ops best practices.
• Facilitate deployment of dockerized pipeline containers.
• Develop and improve user interfaces (React
  
  JS).
• Expand the ML platform's capabilities including Large Language Models (LLMs).
• Perform SQL-based data queries.
• Generate and maintain datasets for ML research and clinical studies.
• Oversee quality assurance processes and documentation standards.

• 1-4 years of experience in data engineering, ML Ops, clinical integration, or software engineering.
• Experience with clinical informatics systems, particularly Epic EHR integration.
• Familiarity with healthcare data standards (HL7, FHIR).
• Proficiency in Python programming.
• Experience with frontend/UI frameworks, especially React
  
  JS.
• Strong experience in containerization (Docker and Kubernetes).
• Familiarity with cloud services (AWS or GCP).
• Understanding of software best practices (Git, CI/CD, QA).
• Excellent communication skills.

• Remote Type:
  Hybrid
• Work Location:
  
  75 Francis Street
• Scheduled Weekly
  
  Hours:
  
  40
• Employee Type:
  Regular
• Work Shift:
  
  Day (United States of America)
• Pay Range: $73,798.40 - $ Annual

Equal Opportunity Employer