Free Lesson
AI Careers in 2025+ : What No One's Telling You
30 min
Jul 25, 2025 12:00 PM
What you'll learn
The 4 key roles emerging in LLMOps
Understand what it really means to be an AI Engineer, LLMOps Engineer, Data Engineer, GPU Engineer/Solutions Architect
How to map your background to the right role
Whether you’re from software, ML, hardware, or product—see where you fit in.
How to position yourself without a PhD or FAANG badge
Learn what actually matters to land these roles in 2025+
What to learn and what to ignore, if you're making a move
Get a no-fluff breakdown of the tools and stacks that matter in production- not just demos.
Why this topic matters
As GenAI moves from flashy demos to real-world deployment, a new operational layer is booming. But while the demand is exploding, the career paths are still unclear - job titles are vague, skill requirements are inconsistent and most content is focused on research, not deployment. This session will give you a clear, actionable roadmap to break into or reposition yourself in this fast-moving space.
You'll learn from
Abi Aryan
ML Research Engineer, Book Author - LLMOps (O'Reilly), GPU Engg (Packt)
Author
