Machine Learning Engineer

What you would do

Prepare data, train and evaluate models, and help integrate them into useful systems. [1]

Where you could work

Related data-science work is primarily computer-based and collaborative. [1]

Hours and flexibility

Usually full time; model releases may intensify deadlines. [1]

Physical and emotional demands

Data quality, model errors, and changing requirements require repeated testing. [1]

How you could advance

Experience may lead to senior model engineering, technical leadership, or research. [1]

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