I transitioned into an ML Engineer.

There are different types of roles in an ML project.

1. Data scientists - These are the people who analyze the data and prepare the models. They basically deliver a jupyter notebook to us

2. ML Engineer - We take the notebooks from the Data scientists and productionize it.

3. MLOPs - These are people take care of the required infra, basically the equivalent of devops.

Personally, for me I worked as a hybrid of Data scientist/Ml enggr. I liked being an ML enggr better.