Contributes to the development, testing, deployment, and maintenance of machine learning models and AI-powered systems for consumer-facing platforms, under the guidance of senior engineers
Participate actively in the full AI lifecycle: contributing to brainstorming and conceptualization, rapid prototyping and experimentation, and writing highβquality, robust production code
Assist with the implementation and management of cloud infrastructure for AI solutions, learning and applying Infrastructure as Code principle
Utilize and contribute to reusable AI/ML platforms, components, and frameworks, helping to improve engineering efficiency
Actively seek guidance and learn from senior engineers through code reviews, pair programming, and technical discussions
Collaborate closely with product managers, designers, and other engineers to understand requirements, refine technical approaches, and deli...