Profession
MLOps Engineer
Take ML models to large-scale production.
An MLOps engineer automates the entire life of a machine learning model: training, testing, deployment, monitoring, and retraining. In a typical week you build pipelines that move data through each step, set up tools for tracking experiments and model versions, watch dashboards for performance changes, and help teams release updates without disruption. You work with data scientists, software and cloud engineers, and product teams, and you become the person who turns promising experiments into dependable services. You also help set standards, such as how experiments are tracked and when a model is ready to ship.
Average salary
$7,000 – $18,000
Education
4 years
Employability
88%
🎥 See what it's really like
A Day in the Life of an MLOps Engineer
An MLOps engineer at Fuzzy Labs shows what a typical day looks like on the job.
MLOps Explained: What It Is and How It Works
A clear walkthrough of the MLOps lifecycle and the problems this role solves.
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❓ Frequently asked questions
How much does a MLOps Engineer professional earn?▾
Salary ranges from $7,000 – $18,000 per month, depending on specialization, region, and experience. Professionals in major cities tend to earn above the national average.
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