MLOps Engineer
Machine Learning Infrastructure Specialist
Overview
MLOps engineers are the bridge between AI research and production. They build and maintain the infrastructure that takes machine learning models from a data scientist's notebook to a reliable, scalable production system serving millions of users. This role combines software engineering, DevOps, and ML expertise to ensure AI systems run reliably, efficiently, and at scale.
"87% of ML models never make it to production. MLOps engineers are the professionals who close that gap."— Gartner, 2025
Why Is This Career Future-Proof?
Every company deploying AI needs MLOps. The role requires judgment about infrastructure tradeoffs, cost optimization, and reliability — decisions that require human expertise and cannot be fully automated.
Projected Growth
2024 – 2034
Salary Range
Annual (USD)
Core Skills
Secondary Skills
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