Role overview
Build production ML systems that balance model quality, reliability, latency, and cost.
Skills to learn
Python, statistics, machine learning, deep learning, MLOps, cloud, APIs, and observability.
Recommended learning order
Python → Statistics → ML → Deep Learning → MLOps → System design.
Interview focus areas
Model evaluation, feature leakage, deployment, monitoring, retraining, and production tradeoffs.
Resources
Use the curated resource library for ML systems and MLOps references.