In a Lead Machine Learning Engineer interview, present one machine learning project that you led or substantially owned. In 2-4 minutes, cover: - A 20-40 second opening that explains the company/team context, the business problem, and the project goal. - Your role, responsibilities, stakeholders, and ownership scope. - The technical stack, models, data scale, labels, and any weak-supervision or human-labeling strategy. - The end-to-end pipeline, including modeling, retrieval, ranking, validation, deployment, and human review if applicable. - Key design decisions and trade-offs. - Quantitative results, such as quality improvement, latency, cost savings, recall, precision, or business impact. - One or two major challenges and how you solved them. - A short retrospective: what you learned and what you would improve next.