I've seen the role you're describing (taking insights to production) move to be described as a "Machine Learning Engineer", whereas Data Engineering is closer to the front end of the process, productionising the _data_ gathering and organisation.
I really liked this diagram, it matches well with how I've seen roles advertised lately https://twitter.com/workera_/status/1215081851577962497
