Interview Prep Strategy - Custom Plan for ML Roles

Every AI/ML job interview is different—some test deep learning concepts, others want end-to-end problem-solving, and some care more about how you design data pipelines or talk through ambiguity. This session is for those who don’t want a generic prep list—but a plan that actually works for their target role and company.

We’ll start by understanding your goal: are you interviewing for FAANG? Startups? Research labs? Enterprise product teams? Then we break down the types of rounds to expect—DSA, ML case studies, modeling, infra/system design, GenAI project discussions, or product thinking.

What you’ll leave with:

1. A clear map of what to prepare and what to skip
2. Targeted resources for each round
3. Advice on how to structure your responses
4. Tips to avoid common traps in behavioral and “why ML?” questions
5. A plan that fits your timeline and learning style

This is ideal if you're overwhelmed with prep videos or unsure where your weak spots are. It’s not just about working harder—it's about preparing smarter, and walking into interviews knowing exactly what’s coming and how to crush it.