So it's time for another break and today we've got a special guest on our vlog and this is Nahian.
He works with me and he's currently a machine learning engineer. So why don't you tell us a
little bit about what a machine learning engineer does and how that differs to a data scientist. So
data scientists will typically work on sort of the brains of a problem or a solution they're
trying to build for a problem. Right so typically the algorithms or your classical machine learning
problems or your neural nets and stuff like that. A machine learning engineer will probably go ahead
and take a look at that code base, work closely with the data scientists and other stakeholders
and build a solution and productionize the models that the data scientists will deliver.
If someone is starting out new or is aspiring to be a data scientist/ML engineer
I would say when you build out a solution. At least try to somehow at least to a minimal level
make it a repeatable process. So that you know that you can make it work wherever it needs
to be in. Awesome so that's a pretty good summary to what a machine learning engineer does and
we'll definitely have Nahian over for an interview in the near future. Thanks Nahian for your time.
That's it for today. If you enjoyed the video then smash that like button
and I'll see you next time i'll definitely be sure to come back with more of these vlogs.