Machine Learning Ops Engineer deploying and optimizing ML models at Affinity Water. Collaborating with teams to enhance the reliability of analytics solutions.
About the role
- Lead Machine Learning Engineering at Foundation Health, designing and deploying production ML systems. Collaborate with teams to implement AI/ML solutions for impactful healthcare.
Responsibilities
- Design, build, and deploy production ML systems across our platform
- Lead the technical vision for AI/ML and establish best practices
- Build and mentor a high-performing ML team
- Work closely with backend and platform engineers on system design
- Develop ML-powered automation features for healthcare workflows
- Use tools like OpenAI, Langfuse, and GCP Vertex AI in real-world applications
- Ensure ML systems are reliable, testable, observable, and secure
Requirements
- Strong software engineering background with high coding standards
- Experience building and operating ML systems in production
- Solid understanding of system design, distributed systems, and architecture tradeoffs
- Comfortable writing clean, scalable, well-tested code
- Proven ability to lead technically while remaining hands-on
- Clear communicator who enjoys mentoring and collaboration
- Customer-focused mindset with empathy for end users
- Likely PhD-level background (or equivalent experience) in ML, AI, or a related field
Benefits
- First ML hire with real ownership and influence
- Greenfield opportunity to define ML at a Series-A company
- Strong existing engineering culture
- Modern ML stack and real production problems
- Meaningful impact on healthcare operations
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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