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Quantiphi Interview Experience for Machine learning engineer 2024 (On-Campus)

Recruitment Process

  1. Round 1 -> MCQ + coding
  2. Round 2 -> Coding
  3. Technical round 1
  4. Technical round 2
  5. Technical round 3
  6. HR round

Round 1

It consisted of 78 MCQ based on OS, CN, DBMS, JS, HTML, Probability, Code Completion, and Output prediction on java, python, c++

based on code snippets.



And 2 coding questions were based on DSA.

Do practice Leetcode DP questions.



Round 2

It consisted of 3 coding questions and the level of all the questions ranged from easy to difficult.

Technical round 1

This round started with my introduction, and then the interviewer asked me about the resume projects and my major project. After this he asked me about constructors and then he told me to write a code using your preferred coding language where I need to use constructor.

So I used python to do the task.

Technical round 2

In this round, the interviewer gave me 2 coding questions and asked me the approach for solving them and then after explaining the approach he asked me to write the code for the same.

One of the question was a 2 SUM problem from leetcode.

Technical round 3

In this round, the interviewer gave me 4 python based coding snippets and asked me to give the output for each.

Code snippets were based on array slicing and global local variables.

This round actually took 20 minutes.

HR round

In this round the HR asked me about myself , how was my interviews and why I want to join Quanitphi as a ML engineer.

After 2 weeks the result came where out of 1582 students from my campus only 13 were selected. And i was one of them 🙂 .

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