1) the titles will vary a lot (software engineer, ML engineer, research engineer, data scientist etc.) which makes it hard to locate those jobs and to move in the job market in general
2) you still need a reasonable amount of theory (not necessarily too much statistics) to use the tools well. And in all likelihood you will be tested on it in some way during the interviews.
3) the interviews/job descriptions that don't emphasise the theory often will be for jobs where you get a title like Machine Learning Engineer but you focus more on the infrastructure rather than on the ML code
1) the titles will vary a lot (software engineer, ML engineer, research engineer, data scientist etc.) which makes it hard to locate those jobs and to move in the job market in general
2) you still need a reasonable amount of theory (not necessarily too much statistics) to use the tools well. And in all likelihood you will be tested on it in some way during the interviews.
3) the interviews/job descriptions that don't emphasise the theory often will be for jobs where you get a title like Machine Learning Engineer but you focus more on the infrastructure rather than on the ML code