A Roadmap to Become a Machine Learning Engineer



As a Machine Learning Engineer, I remember feeling uncertain about the path ahead when I first started out. Back then, I had no idea that the title “Machine Learning Engineer” even existed when I was working on my Text-to-Speech study for my Bachelor’s thesis. But it has become a popular and sought-after title, particularly among computer science students. With this in mind, I created a roadmap specifically for those interested in pursuing a career in this field. The roadmap starts with the basics and gradually builds up skills, one layer at a time. It’s worth noting that in today’s world and job market, having a Master’s degree is almost a requirement to land a job in this sector, as it can make a tremendous difference.

It all starts with math. Linear Algebra, Statistics and Probability are our first requirements before jumping into ML algorithms. It’s important to have a strong foundation in these areas since Machine Learning is based on statistical and probabilistic models.

2. Programming is the second skill set before jumping into ML algorithms. Machine learning involves a lot of mathematical and statistical concepts, so it’s essential to have a good understanding of data structures and algorithms.