Member-only story
How To Stay Relevant As A Machine Learning Engineer In 2021
My Plan and Strategy. Feel free to borrow
The machine learning industry moves at the speed of innovation. Daily developments and progress pushes the frontier of ML and AI just that bit further.
As a practising machine learning engineer, it can be challenging to keep up with the pace of developments that occurs within the industry. I find that complacency, even for a short period, can set you back months or years behind the frontier of ML.
This article details some of the steps I’m taking in 2021 to stay relevant to the industry in terms of expertise and general domain knowledge. Most of the steps are an extension of critical strategies that have worked tremendously well for me in 2020.
Feel free to use or make modifications to some of the strategies presented in this article. And if you have plans and strategies that have worked for you in your efforts in staying relevant within the ML industry, do share in the comment section.
Have A Consistent Learning Routine
Success isn’t always about greatness. It’s about consistency. Consistent hard work leads to success. Greatness will come
