This question evaluates a candidate's ability to communicate technical ownership, system architecture, decision-making, and operational problem-solving in machine learning projects, including how trade-offs, incident response, and success metrics were handled.
Prepare for a deep technical retrospective on one of your past projects. The interviewer may ask you to explain:
The discussion is usually interactive and may probe deeply into design choices, debugging, execution, and impact.