Did you work on any projects before getting the ML job? i try to learn by myself but never seems to me any employer would hire me on the basis of doing online courses. So how did you end up crossing that gap?
You need to find an employer who is hiring based on potential or potential + a track record in a different area. I wouldn't hire an ML practitioner with no practical experience. I would hire someone who's produced in other areas and is looking to make the move to a junior ML practitioner (or who has domain expertise in our corner of the world).. It's like the rest of engineering... just because you've taken a course in Python doesn't make you a software engineer or proficient in it. Now show me that you've done things in other languages and we can start talking. Like, courses in ML don't _really_ teach you about things like:
* reproducing model training
* deployment of experiments in a CI/CD pipeline
* observability of models
* discoverability and governance of results
* versioning of data / models
* optimizing for latency vs throughput
* when to use batch vs real time
etc
Just like a course in a computer language wouldn't necessarily teach you about CI/CD, horizontal vs vertical scaling, or domain-specific bits.
Just seeing this. This is exactly right ime, I had years of senior full stack SWE experience /track record of SWE at my employ and was able to get myself on a RNN project initially, then expanded from there. I didn't get hired at a new company as an ML person out of the gate.
* reproducing model training * deployment of experiments in a CI/CD pipeline * observability of models * discoverability and governance of results * versioning of data / models * optimizing for latency vs throughput * when to use batch vs real time etc
Just like a course in a computer language wouldn't necessarily teach you about CI/CD, horizontal vs vertical scaling, or domain-specific bits.