Machine Learning Engineer III

Design, develop, deploy, and maintain machine learning software solutions that provide reliable, scalable, and secure product or engineering outcomes.

Own machine learning features/components through full lifecycle: design, implementation, testing, deployment, troubleshooting, production support, and continuous improvement.

Collaborate cross-functionally with ML scientists, software engineers, product, and others in a fast-paced Agile environment to build and operate production ML and GenAI systems at scale including batch/real-time inference and platform enhancements.

Bachelor’s degree in Computer Science or related technical field, or equivalent professional experience.

Minimum 5 years of relevant professional experience with ownership of ML features/components from design to production support.

Proficiency in software development, ML solution development, API integration, data modeling, version control, automated testing, debugging, and production support.

Familiarity with low-level system design and building maintainable, reliable, secure, operationally resilient software solutions.

Experience delivering machine learning products or services at scale with focus on performance, reliability, security, and measurable outcomes.

Skillful in using data and production insights to make technical decisions and improve ML application reliability and maintainability.

Capable of contributing to architecture and design decisions across multiple services while collaborating effectively with partner teams and integrating AI/ML concepts to improve workflows and customer outcomes.