SkillData ScientistAI/ML Engineer
Library · practice
MLOps
Ship models as versioned, tested services, then watch them in production and retrain before they quietly fail.
MLOps appeared in 58% of the AI/ML Engineer and 32% of the Data Scientist job descriptions we read. It is the difference between a notebook result and a model a business can depend on.
The examples serve a real model with FastAPI and monitor it on the UCI Bank Marketing data, whose rows are in time order and drift sharply.
Beginner lessons for MLOps are being written.