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Paytm

Payments and lending app; going 'AI-first' with Paytm Intelligence (Pi)

Target this company

Interview in a few hours? A quick sprint for Paytm

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 Paytm usually runs it for applied AI and LLM engineer roles.

  1. Initial screening

    Focus: Background and role fit

    Your application and background are reviewed, usually followed by a short recruiter conversation before any technical step.

  2. Online coding test

    Focus: DSA, SQL, Python

    A timed online test, typically on HackerRank, with a few data-structure problems and SQL; data roles report Python and SQL tasks here.

  3. Technical round: ML and statistics

    Focus: ML and stats fundamentals

    A live round on core ML algorithms and statistics, where you explain why you picked one model over another and how you handle overfitting.

  4. Project deep-dive

    Focus: Ownership and modelling choices

    Interviewers walk through past projects in detail, probing your own contribution, the outcome and the limits of the techniques you used.

  5. Managerial and HR rounds

    Focus: Judgment, culture fit

    A hiring-manager conversation on past decisions and team situations (sometimes with a design question), then a short HR call on fit and notice period.

How it weights your plan

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

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

Official prep and resources

Public candidate write-ups

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