AI / ML Engineer

Complexity thinking and the linear structures everything builds on.

The patterns interviewers reach for again and again.

Trees, heaps, tries, and graphs — the onsite bread and butter.

Dynamic programming is the make-or-break topic for ₹30 LPA+.

The online-assessment round that gates most placements. Speed + accuracy.

Logical reasoning, verbal ability, and data interpretation.

What separates "can code" from "understands systems".

Concept clarity and trade-offs — the unlock for higher bands.

The language and maths the rest stands on.

Don’t skip it, even for GenAI.

Understand attention, not just call it.

The core of the modern role.

Ground models in real data.

Reason → tool → observe → repeat.

Customise, serve, and measure quality.

Projects that signal seniority — deployed, tested, not tutorials.

A non-brand-name profile has to make the signal obvious.

Reps convert — DSA rounds, core CS, project deep-dive, design.

Off-campus, discovery is your job — and leverage beats one interview.