How I Would Become a Machine Learning Engineer in 2026 (If I Started Today)

Welcome to Sheryians AI School Your one-stop destination to explore Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Python, and everything smart enough to shape the future. speaker in this video - Akarsh Vyas Everyone thinks "Machine Learning Engineer" = do a course, learn some ML, get placed. Wrong. In this video, I break down the EXACT 4-step roadmap I'd follow if I were starting from scratch today to become an ML Engineer not just to learn ML, but to actually get hired as one. Most students stop at Step 2 (courses + notebooks) and wonder why they're not getting interview calls. The real separation between "ML student" and "ML Engineer" happens in Steps 3 and 4 and almost nobody talks about it. Here's what I cover: ✅ Step 1: The foundation everyone skips (and pays for later) ✅ Step 2: Why 5 courses + 0 projects = 0 offers ✅ Step 3: The engineering skills that actually separate you from the crowd ✅ Step 4: Building a portfolio that gets you noticed, not ignored Plus the interview round almost no one prepares for (ML System Design), and why explaining YOUR OWN project matters more than the code itself. ❤️ Support the Channel Don’t forget to LIKE 👍, SUBSCRIBE 🔔 for more AI & Data-focused learning, and COMMENT 💬 below if you have any questions or topic suggestions. 🌐 Connect With Sheryians - https://sheryians.com/ 📷 Instagram - https://www.instagram.com/sheryians.a... 🎮 Discord -   / discord   SheryiansAISchool, ArtificialIntelligence, MachineLearning, DataScience, DataAnalysis, Python, AIForBeginners, MLForBeginners, DataScienceCareer, AICourse