ML Engineer applicants have rated the interview process at Quantiphi with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 34.5% positive. This is according to Glassdoor user ratings.
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Firstly there was an aptitude test + coding questions. The test consists of 80 questions and duration was 86 mins on Hackerrank.
Then shortlists were called for 1 st round technicla interview.
Again, shortlisting was done and selects were called for 2nd round of interview.
Interview questions [1]
Question 1
Coding based questions, SQL, Resume based questions
It was an off campus opportunity channeled by our institute's CDC ,Interview was a 3 step process, First one was MCQ s, written , then followed by 2 other rounds of Personal Interviews.
I applied through college or university. The process took 1 day. I interviewed at Quantiphi in Jul 2021
Interview
first, there was a technical round followed by 2 technical rounds and one HR round.
Round 1: First round consists of 2 parts. 30 apti questions in 30 min and 2 small coding questions in 30 min.
Round 2: He started with Tell me about yourself and then started asking questions about my CV(Projects mainly). How algorithm in my machine learning project works(LDA). Then he asked how many ML algorithms I know then he asked from where did I learn them. He understood that I am good with Java. As they needed someone who is good with programming for platform engineer he referred me to another interviewer for checking my Java skills.
He asked me about modifiers, String args[] in main function, chmod 777 in terminal, string.substring(),difference between interface and abstract class, what is static how you call static variables in another class,……..
Interview questions [1]
Question 1
1)What do you know about ml.
2)insertion sort.
3)2 dbms questions.
4)situation based Q's.