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by sateesh 1416 days ago
It will be interesting if you can share how you landed in your first ML job, once you learnt the algorithms. I think getting the first job in ML role, if you don't have formal qualification in the related field is the hard part.
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Got my foot in the door doing an after-school program teaching kids to code.

I leveraged that to get a teaching assistant job at a bootcamp for adult professionals.

I networked my arse off at the teaching assistant job until experienced programmers (such as instructors) realized I knew my stuff but was underemployed. I got a couple of side gigs doing BI Analytics that way.

After doing this, I had a tough set of interviews for my first full-time role. Every failed interview taught me about my weaknesses and blindspots, and I learned from them. I opted to get stronger at system design, stats & ML algorithms, though I feel like grinding leetcode could have been another approach at this point.

Because I had a wide set of marketable skills within data-oriented work, an analytics consulting firm took a liking to me. I had versatility for billable projects, and I got a bunch of tech certifications in AWS/etc. This role would be describable as 'Analytics Engineering'.

They overworked me for a little while, then my next role was a Data Scientist role that was on my own terms.

I don't want to make it sound like I could just jump in no problemo. I had to think strategically about how to climb each rung of the ladder. But I am now at a point where I have the experience needed to be a senior. While some companies might turn me down for not having a piece of paper, there are enough who actively want me that I am sitting pretty with my career.