Profession
ML Ops Engineer
AI in production with confidence.
A machine learning operations engineer builds and runs the systems that take machine learning models from a data scientist's notebook to a reliable product. Your days involve setting up pipelines for training and deployment, versioning data and models, monitoring performance in production, and fixing things when predictions drift or services slow down. You work closely with data scientists, software engineers, and cloud or platform teams, and much of your value comes from making their work repeatable and safe to ship.
Average salary
$9,000 – $22,000
Education
4 years
Employability
91%
🎥 See what it's really like
What Is MLOps?
IBM Technology gives a clear overview of what MLOps engineers do to take models from notebooks into production.
MLOps Explained
Microsoft Azure explains the MLOps workflow and the responsibilities that come with running machine learning in production.
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❓ Frequently asked questions
How much does a ML Ops Engineer professional earn?▾
Salary ranges from $9,000 – $22,000 per month, depending on specialization, region, and experience. Professionals in major cities tend to earn above the national average.
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