Machine Learning Engineer

• Work closely with applied science practitioners and engineers to rapidly build, deploy, and iterate high-quality ML infrastructure solutions at scale, ensuring reliability and effectiveness.
• Drive core components of the ML Platform technical roadmap to design and build MLOps solutions with automated pipelines and standardized processes to build, deploy, run, monitor, debug, and retrain ML models.
• Develop, maintain, and enhance frameworks for machine learning model development and deployment.
• Collaborate with ML model builders and application owners to determine business requirements and SLAs for API-enabled services.
• Develop, maintain, and enhance infrastructure supporting machine learning services.
• Support the development of new patterns for deployment of machine learning models with CI/CD pipelines and automated testing.

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