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Zepto

10-minute quick commerce; ML for pricing, demand, supply chain and last mile

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Interview in a few hours? A quick sprint for Zepto

AI in interviews

low confidence

No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.

Checked 22 Oct 2026Source

Typical interview loop

How Zepto usually runs it for applied AI and LLM engineer roles.

  1. Online screen (HackerRank)

    Focus: Stats/ML basics, SQL, Python

    A short online test with multiple-choice stats and ML questions plus one SQL and one Python coding task.

  2. Technical round: coding, SQL and ML concepts

    Focus: Stats, probability, ML concepts

    A roughly 45-minute live round on statistics, probability and ML concepts with some coding and SQL.

  3. Resume deep-dive

    Focus: Project depth, applied ML judgment

    A discussion of the projects and models on your resume; some candidates also get quick ML case questions or a hands-on dataset exploration and modelling task.

  4. Hiring manager round

    Focus: Fit, motivation, ownership

    A closing conversation with the hiring manager about your experience, motivation and team fit; campus loops report a light HR round in its place.

How it weights your plan

Selecting Zepto when you build a plan multiplies each topic’s priority score:

ML fundamentals+30%
Coding+10%
Transformers-20%
RAG-20%

Official prep and resources

Public candidate write-ups

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