MLOps is a set of
used to maintain, deploy and manage machine learning models in production.
In a nutshell, MLOps engineer
started once the build and tested.
The MLOps engineer role is relatively
and its demand is growing day by day.
MLOps engineer evaluates the model performance once the machine learning model is deployed in
MLOps engineers should be
of DevOps, machine learning, and data engineering technologies.
MLOps engineers also need to
model governance, model Monitoring, and model versioning.
MLOps engineers should be aware of tools like
MLFlow and kubeflow
which are used to manage the life cycle of machine learning models.
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