Practical Guide to Technical Screening for ML Candidates (Coding + ML System Design)
Technical screening for ML candidates is a structured evaluation across three areas: coding (production-quality Python and data structures), applied machine learning (modeling, evaluation, and ML math), and ML system design (scalable pipelines, monitoring, drift, and retraining). Pure coding tests and pure modeling interviews both fail because ML roles blend software engineering, data engineering, math, and … Read more
