>"you can't afford to pay engineers that cost half a mil a year to spend their time fiddling with deployment binaries" Maybe because you're spending half a mil

>"you can't afford to pay engineers that cost half a mil a year to spend their time fiddling with deployment binaries" Maybe because you're spending half a mil a year on folks doing matrix and vector math? I agree the reasoning is flawed. In order to have a decent ML shop, you need devops. DevOps will make sure your builds work and can be deployed into the architecture of whatever product you're building. Not saying this is a person, but you should be practicing good software engineering first, before trying to AI things. You can grow both skill sets at the same time but one definitely comes before the other. Any company who is just deploying ML models with the kitchen sink and throwing everything over the fence is going to need to brush up on their investigative skills because they will be hacked.