MLOps Engineer

What you would do

Build reliable pipelines to deploy, monitor, and update machine-learning models. [1]

Where you could work

Software teams, data platforms, and technology operations. [1]

Hours and flexibility

Usually full time; some teams rotate on-call coverage. [1]

Physical and emotional demands

Production failures and changing data require systematic troubleshooting. [1]

How you could advance

Experience can lead to platform architecture or ML infrastructure leadership. [1]

These are possible directions. Promotion timing and pay depend on the role and employer.