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$devvkit learn --roadmap mlops-engineer-roadmap

MLOps Engineer Roadmap

[roadmap]

Own the model lifecycle in production: experiment tracking, CI/CD for ML, monitoring, and governance.

Salary

$130K-$230K (US) / $65K-$135K (remote global)

Estimated Time

9-15 months of focused learning

Job Outlook

Growing fastest among ML sub-specializations as companies scale from one model to dozens in production.

Progress
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Prerequisites
Software engineering experience (2+ years)Working knowledge of PythonBasic understanding of ML concepts and model lifecycle
›Market overview

MLOps applies DevOps discipline to ML systems. Highest-paid ML specialization — teams need someone who can keep models reliable after data scientists hand them off.

The 10,000-hour rule says mastery requires roughly that many hours of deliberate practice. At 1% improvement per day, you are 37x better in a year. This roadmap is a structured path, not a race — follow the steps in order, build the projects, and trust the process.