I've been at a chaotic job for 3+ years and had a lot of stress before that. Very much looking forward to quitting soon and getting some rest. I also need space to learn and practice with no side tasks, boss, or other sources of stress.
In my head, the ideal next few months would be spent in a low-CoL European country with a laptop and my 20k in savings, learning at my own pace and practicing the implementation of ML ideas. Then searching for jobs that match what I want, mostly in the US. And sticking to a couple hours of work per day, or whatever amount doesn't feel bad for me.
I've got experience implementing computer vision models, building inference/training pipelines, doing devops, programming in Python and C++, and a few other things. My goal is ML research or engineering on large pipelines. Current job doesn't leave me the energy to learn a lot by myself.
Does this sound like an extremely bad idea, given what everyone on here is saying about the tech job market, and that I'm not very experienced? I would appreciate any kind of advice, from people who have taken a hiatus, or recruited someone after one, or who know more about the ML job market and what employers are looking for.
In my head, the ideal next few months would be spent in a low-CoL European country with a laptop and my 20k in savings, learning at my own pace and practicing the implementation of ML ideas. Then searching for jobs that match what I want, mostly in the US. And sticking to a couple hours of work per day, or whatever amount doesn't feel bad for me.
I've got experience implementing computer vision models, building inference/training pipelines, doing devops, programming in Python and C++, and a few other things. My goal is ML research or engineering on large pipelines. Current job doesn't leave me the energy to learn a lot by myself.
Does this sound like an extremely bad idea, given what everyone on here is saying about the tech job market, and that I'm not very experienced? I would appreciate any kind of advice, from people who have taken a hiatus, or recruited someone after one, or who know more about the ML job market and what employers are looking for.