I work in a ML Engineering team, and it has almost become a meme for me to demystify ML to prospect candidates. First of all I have to convey the idea that we

I work in a ML Engineering team, and it has almost become a meme for me to demystify ML to prospect candidates. First of all I have to convey the idea that we are just engineers, so the vast majority of our job is "boring" engineering stuff. Write, maintain and upgrade code, fix bugs, scale our systems... other than the domain, you wont see much difference. What people usually see as the "cool" part of the job is often done by scientists. There is an interface between teams where we get the result of science and need to get it "production ready", but that might be around 10% of the job.