In recent conversations, I’ve noticed a recurring theme among those eager to break into the AI field: there’s a lot of uncertainty about what to expect. I realized that outside my bubble, many newcomers find the landscape of AI and machine learning (ML) daunting.
Whether you’re preparing to study AI, taking your first steps in the field, or have just landed your first job, this article aims to demystify the experience. I’ll provide a clear picture of what to expect in your first year and offer a glimpse into the daily life of an ML engineer — whether you’re working in a small, agile team or part of a larger, more structured organization. Let’s get right into it
A big part of being a machine learning engineer is being an engineer. The fact of the matter is, most companies have a problem, and need you to solve it. This means that when studying, you need to have a clear idea of what each model/pipeline offers, what issue does it solve, and what does it excel at, maybe even more crucially, what does it suck at. Try to always build the smallest possible models from…