ML Engineer

Key Responsibilities

• Build and deploy machine learning solutions from end to end, contributing to the full ML delivery cycle
• Conduct data analysis, annotation, and processing as a key part of the ML system design
• Design solutions using common patterns and tools, and propose alternative approaches when needed
• Ensure solutions meet design standards and are reusable, flexible, and extensible through peer reviews
• Deploy features and ensure they work as intended while preventing unintended side effects
• Document technical solutions and ensure all necessary monitoring and support tools are in place
• Solve issues in the engineering design and delivery process and ensure the solution meets key performance indicators and non-functional requirements
• Collaborate with team members, contribute to a community of practice, and promote the reuse of common approaches and technologies

Skills, Knowledge and Ex...