Modern ML Lifecycle - Where do you fit in?

If you're curious about a career in Machine Learning but not sure which role fits you best, this guide is your shortcut to clarity.

Inside the PDF, you’ll discover:

✨ A clear breakdown of the entire ML lifecycle — explained simply, without jargon.

✨ How different roles contribute at each stage, from Data Engineering to ML Engineering to Product.

✨ A fun, interest-based framework to help you understand which role aligns with your personality, strengths, and curiosity.

✨ Skills you need to grow into each career path, presented in a practical, beginner-friendly way.

✨ Perfect transitions for students, recent grads, and professionals shifting into ML, so you know exactly where to start.

This isn’t just another technical document — it’s a career compass designed to help you confidently choose your starting lane in the ML ecosystem.

Whether you’re drawn to data, insights, coding, systems, or product thinking…

there’s a place for you in the ML lifecycle, and this guide will help you find it.