In this case you are doing data engineering as opposed to ML engineering. While ML engineering isn't just about tuning hyper-parameters, it will involve deploying and monitoring the models as well. Most companies though have a shortage of software engineers/data-engineers which leads the ML engineers/data-scientists to become more self-sufficient in generating the required data. It also helps that software engineers tend to have little clue about the data they need to process and hence sometimes a more end-to-end focussed work is more efficient.
Nicely done. The way you show these intricacies, for me as a newbie in the field this really gives an overview of jobs. :yougotthis::yougotthis::yougotthis:
How often do you do math in this career? Each day ??
I loved this 💕 Keep posting more brother
This looks great bro. Keep it up!
Really nice video as you have got some good cooking skills as well Boris!
It's a great video. It's always cool to see how other MLEs work and their day.
1)What steps did you take to become a machine learning engineer? 2)Did you take the COMPTIAA courses before machine learning? 3)Do you enjoy what you do? 4)What peaked your interest in machine learning? Salary? Natural interest? 5)What are the challenges of the role?
Great video Boris! I recently got a job as a ML Engineer.
great video, i wonder how would my life look 👀
Great video, more of these pleaseee :virtualhug:
Super discipline, great success to you in the future!
Super starke Entwicklung seit der HCO! Mach weiter so!
I am thinking of entering artificial intelligence engineering, but I do not agree with mathematics. It is a little difficult. Is this a reason for me to stop thinking about this major? I'm realy worried if mathematics have a big role in it
Great video!
Nice video man ❤️
Great!!! good to see your daily routine
Great video! It provided me with great insight. By the way, you somehow look like Iman Gadzhi, hahaha!
Nice video, you are living something I want to live in the future
@kasemahasema