Switch to AI/ML - Rebrand Your Mid-Career Path

If you're 3 to 15 years into your tech career and feel like you’ve plateaued, it might be time to pivot—and AI/ML might just be the smartest leap you make. This session is designed for professionals from software engineering, data analytics, business intelligence, or even product management backgrounds who want to shift into AI/ML roles—but don’t know how.

We’ll start by mapping your current expertise and identifying what’s transferable. You don’t have to start from scratch—chances are, you're already 40% there. I’ll help you reframe your experience in ML terms, showing you how to reposition your domain skills to align with what hiring managers look for in AI product teams.

Expect a detailed discussion on -

1. Realistic target roles: ML Ops, Applied Scientist, GenAI PM, etc.
2. Upskilling that fits your bandwidth—no 12-month detours
3. Whether to go for certifications, open-source work, or side projects
4. Rewriting your resume & LinkedIn for credibility in this new space
5. What to say in interviews when asked: “Why the switch now?”

We’ll cut through the hype and focus on what works. This is not “AI 101”—it’s strategic, practical, and tailored to high-leverage career movers. If you’re done thinking about AI/ML and ready to act—this session is your springboard.