Design the structure of a maintainable Python ML codebase
Interview insights are lockedSee how often this is asked and which companies asked it with Buncho Pro.A team of six ML engineers keeps its work in notebooks and ad-hoc scripts. Propose a Python project structure and engineering practices for a training-and-serving codebase that is reproducible, testable and easy to onboard onto.
Cover repository layout, configuration, data/model versioning, testing, quality gates and CI, and how training and serving share code.