Career Destination
How to Become a MLOps Engineer
Discover 0+ transition paths from various backgrounds to become a MLOps Engineer. Each pathway includes skill gap analysis, learning roadmaps, and actionable advice tailored to your starting point.
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Transition Paths
$130K - $220K
Salary Range
+50%
Growth Rate
Target Career: MLOps Engineer
MLOps Engineers build and maintain the infrastructure for machine learning systems. They automate ML pipelines, manage model deployments, monitor model performance, and ensure ML systems run reliably in production. This role bridges ML engineering and DevOps.
Salary Range: $130K - $220K
Growth Rate: +50%
Experience Level: Mid-Senior
Industry: AI/Infrastructure
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