Designing the systems that run the 'ML pipeline', or end to end data collection > train -> deploy -> infer -> improve. I don't see 'ML Engineers' as advancing

Designing the systems that run the 'ML pipeline', or end to end data collection > train -> deploy -> infer -> improve. I don't see 'ML Engineers' as advancing the state of the art but they should be fluent in recent techniques, know how to apply them, optimize them, know hardware is needed to efficiently train, etc.