ML Engineer to Director:

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.PS: I came across Jack through a fellow cult member. If there’s someone who you like, don’t be shy about making the introduction. I don’t care how many followers they have, about their job title, etc. As long as they have interesting things to say, I would love to feature them.

About me

Hey all, my name is Jack Blandin. I’m currently the VP of Data Science at Fi — a NY-based startup that makes smart dog collars. Previously I’ve worked as an Associate Director of Machine Learning at Wayfair, and various other roles at Trunk Club and GoHealth.

Until relatively recently, I have avoided any kind of content production. But lately I’ve decided to change that, and share insights I’ve learned over my nine-year career in Machine Learning, Data Science, and Software Engineering.

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