ML Engineer to Director: How to skyrocket your Machine Learning career in 6 months
While Jack Blandin is a newcomer to the AI Content Creation space on LinkedIn, I find his posts to be insightful, genuine, and approachable. Jack has many great posts regarding career progression, conducting better interviews in AI, and how Engineers can upskill in AI. After stalking his page for a bit, and having a brief conversation to get to know each other better, I knew that I wanted to have Jack share his knowledge with y’all. In the upcoming article, Jack will share his experience with a very harrowing but ultimately rewarding project. This project enabled Jack to go from a Machine Learning Engineer to the Director of Data Science at his former organization. I’m sure you will really appreciate all that Jack has to share, I know I did.
My content is a bit different. I don’t focus purely on technical topics. Instead, I emphasize what I call the “softer side” of tech, and how these topics interweave with technology. The general message I try to preach is that being successful with ML, or any other tech, is not purely about technical prowess. That is just one piece of the puzzle, and there are many others that are often overlooked. I like to tell stories from my past that led me to this line of thinking. And to make these stories engaging for readers, I tell them with very little filtering.
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