Lead Machine Learning & DevOps Engineer - Remote

Overview

The Lead Machine Learning & DevOps Engineer will bridge the gap between AI/ML research and clinical applications, transforming prototypes into production-ready software tools.

In Short

• Productionize ML prototypes into scalable systems.
• Build back-end services and front-end interfaces.
• Deploy applications using GPU-accelerated cloud infrastructure.
• Oversee the AI model lifecycle with versioning and performance monitoring.
• Work autonomously with minimal oversight.
• Collaborate with ML scientists and clinical stakeholders.
• Set up and manage CI/CD pipelines.
• Ensure security and compliance in tool development.

Requirements

• 5+ years of software engineering experience, focused on ML or scientific computing.
• Experience taking ML models from prototype to production.
• Proficiency in Python, Flask/FastAPI or Django.
• Experience with JavaScript/TypeScript and React.
• Knowledge of cloud platforms like AWS, GCP, or Azure.
• Experience with Docker and Kubernetes.
• Familiarity with MLflow and W&B.
• Ability to work autonomously in a fast-paced environment.

Benefits

• Competitive benefits including medical, dental, and vision plans.
• Free testing for employees and their families.
• 401k benefits and commuter benefits.
• Generous employee referral program.
• Opportunity to work with a cutting-edge team in healthcare AI.