modeling is 1-2% of the overall work involved in having a model serve customers something useful. There's just so much other work to do that it rarely makes sen

modeling is 1-2% of the overall work involved in having a model serve customers something useful. There's just so much other work to do that it rarely makes sense to have people who can only model. At some level of scale, building out infrastructure to support people to model full time and constantly run a/b tests make sense but that is not the vast majority of use cases for ML in the real world and building out that support infrastructure is a huge investment