MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Principal Machine Learning Engineer evaluating ML models at Autodesk for CAD/BIM workflows. Collaborating with teams to ensure quality, reliability and customer impact in ML-powered products.
Responsibilities
- Design and execute evaluation protocols (datasets, metrics, statistical analysis) that reflect real user workflows for CAD/BIM and production conditions
- Develop reproducible evaluation tools and automations to support model development, regression testing, and release-readiness decisions
- Collect, process, and analyze data from multiple sources to assess model behavior and customer outcomes
- Validate end-to-end ML-based product experiments and translate product requirements into measurable evaluation criteria
- Communicate findings and recommendations clearly to researchers, engineers, product teams, and leadership
- Document model quality issues discovered in production
Requirements
- BS or MS in Mechanical Engineering, Architecture, Computer Engineering, Computer Science, Applied Mathematics, Statistics, or equivalent professional experience
- 4+ years of professional experience in ML model evaluation, ML QA, or applied ML engineering
- Strong software engineering skills, including Python, data pipelines, testable and maintainable code, version control, and cloud-based workflows
- Strong written communication skills to document evaluation methods, results, and recommendations
Benefits
- Base salary
- Annual cash bonuses
- Commissions for sales roles
- Equity grants
- Comprehensive benefits package
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