Questions
Common questions.
What is MLOps Engineer?
An MLOps engineer builds and operates the infrastructure for training, evaluating, deploying, and monitoring machine learning models and AI agents at scale.
How does MLOps Engineer work?
They own the agent CI/CD pipeline, model registry, evaluation harness, and observability stack: the technical backbone of operational AI governance.
Which terms are related to MLOps Engineer?
Closely related concepts include Evaluation Harness (Agent), Model Card, Model Distillation, Ground Truth Evaluation. Each is defined in the Prefactor glossary.
Keep reading