Sharing my experience from AI startups and large companies
In recent conversations, I’ve noticed a recurring theme among those interested in getting into the AI field: there’s a lot of uncertainty about what to expect. I realized that outside of my bubble, many newcomers find the AI and machine learning (ML) landscape intimidating.
Whether you’re preparing to study AI, taking your first steps in the field, or just landed your first job, this article aims to demystify the experience. I’ll give you a clear picture of what to expect in your first year and offer insight into the daily life of an ML engineer, whether you work on a small agile team or are part of an organization larger and more structured. Let’s get straight to the point
A big part of being a machine learning engineer is being an engineer. The fact is, most businesses have a problem and need you to solve it. This means that when you study, you should have a clear idea of what each model/pipeline offers, what problem does it solve and what it is good at, perhaps more importantly, what it sucks at. Always try to build the smallest models possible from…