Machine Learning System Design Interview: A Practical, Step-by-Step Guide to Real-World ML Architecture (with Case Studies)
You’ve done Kaggle. You’ve shipped a model. Yet when an interviewer asks, “Design a real-time fraud detection system for 50M users,” your mind stalls between data pipelines, feature stores, and ranking stages. If that’s you, you’re not alone—and you’re closer than you think. The key is learning to connect ML modeling with systems architecture and…