Machine Learning System Design Interview Pdf Alex Xu -

: Plan for model serving, scaling, and tracking performance over time to catch "drift". Real-World Case Studies

[ Raw logs ] → [ ETL (Spark/Beam) ] → [ Feature pipeline ] → [ Training dataset ] [ Model code ] → [ Trainer (TF/PyTorch) ] → [ Model artifact ] → [ Model Registry ] machine learning system design interview pdf alex xu

This article summarizes a practical approach to ML system design interviews: problem framing, requirements, high-level architecture, components, trade-offs, and evaluation. It follows a clear structure interviewers expect and focuses on scalability, reliability, and maintainability. : Plan for model serving, scaling, and tracking