But the term is *very* broad and is used for pretty much everything from toying around with Excel sheets to doing really cool ML.
As to "toying with Tensorflow", this is of no use whatsoever, IMHO, if you don't know anything about machine learning. So, first learn more about that, and then see how Tensorflow fits in, is what I would suggest.
I think you are right in saying that AI/ML is not something you pick up over a long weekend. Still, it should be possible for someone to give it a shot without doing a PhD.
There is a really nice Coursera course I can recommend: https://www.coursera.org/learn... If you follow that and make all the assignments, this will take you some months (assuming you don't do it fulltime), but you end up knowing a lot more about ML then a lot of others. Also there are tons of books that cover Machine Learning basics. Then, if you want to get your hands dirty, you can go to Kaggle and participate. I think if you do that for a while, and prove that you are really good at it, a company/recruiter looking for an ML person might be interested even if you don't have a degree in an ML-related field.
And as to the original question, what kind of job titles? I noticed that many times "Data Science" openings have something to do with some kind of machine learning. But the term is >>very As to "toying with Tensorflow", this is of no use whatsoever, IMHO, if you don't know anything about machine learning. So, first learn more about that, and then see how Tensorflow fits in, is what I would suggest.
Anyway, long story short: go for it!!
You won't be an expert in a month, but you are in for a treat
The first rule of intelligent tinkering is to save all the parts. -- Paul Erlich
