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      ML Engineer Interview

      9 July 2025
      Anonymous interview candidate
      Mumbai
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at IDfy (Mumbai)

      Interview

      The interview process consisted of first an online assessment then two technical rounds followed by hr interview. The oa round consisted of questions from sql , statistics and to code a machine learning model . The technical round were more towards asking questions about about the skills in tour resume and the projects made.

      Interview questions [1]

      Question 1

      After this he asked me about HTTP methods So i told about GET,POST,PUT etc
      Answer question

      Other ML Engineer interview reviews for IDfy

      ML Engineer Interview

      20 Aug 2025
      Anonymous interview candidate
      No offer
      Neutral experience
      Average interview

      Application

      I applied through university. The process took 2 days. I interviewed at IDfy in Aug 2025

      Interview

      The IDfy interview process is usually fast (1–2 days) and starts with an online test covering coding, SQL, and logic, followed by two technical rounds focused on core CS fundamentals (OOP, DBMS, OS, networking), problem-solving, and project/system design discussions, and ends with an HR round assessing cultural and role fit.

      Interview questions [1]

      Question 1

      If you were building a system for a dating app like Tinder, how would you detect and prevent fake profiles?
      1 Answer

      ML Engineer Interview

      26 Apr 2025
      Anonymous employee
      Udupi
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied through university. The process took 1 day. I interviewed at IDfy (Udupi) in Oct 2022

      Interview

      It is important to stick to the basics and build a strong foundation by thoroughly understanding fundamental AI concepts such as transformer architectures, convolutional neural networks (CNNs), and the principles that drive them. Rather than rushing into the latest trends or advanced techniques, investing time in mastering these core building blocks ensures you develop the intuition needed to solve complex problems. A deep grasp of these fundamental ideas not only makes it easier to learn new models and frameworks as they emerge but also gives you the flexibility to innovate and adapt to changes in the AI landscape. Strong fundamentals act as a compass, guiding you through the vast and ever-evolving field of artificial intelligence with confidence and clarity.

      Interview questions [1]

      Question 1

      Explain back propagation in CNN Architecture
      1 Answer