ML Engineering and MLOps Interview Pack
Data and feature pipelines, training at scale, registries, serving, monitoring, drift and CI/CD for ML.
150 questions, each with why it is asked, a full answer, what the interviewer listens for, follow-ups, common mistakes and a diagram. By Roni Das.
About 20% junior, 35% mid, 30% senior and 15% staff.
Sections, from small ideas to big ones
- data and feature pipelines
- training at scale
- experiment tracking
- model registry
- serving
- monitoring and drift
- A/B tests
- feature stores
- CI/CD for ML
Coming soon
5 free questions from this pack
The free sample questions are being added.