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.
Here are the most commonly searched roles for interview reports -
I applied through college or university. I interviewed at Quantiphi
Interview
3 Rounds.
1st round was basic aptitude and coding related question online (7 sections).
2nd round was F2F technical interview of 30 mins on Google meet.
3rd round was again F2F technical interview of 15 mins on Google meet.
I applied through college or university. The process took 2 days. I interviewed at Quantiphi (South Twenty Four Parganas) in Aug 2018
Interview
It was a Campus Hiring for NIT Rourkela during August 2018.
Overview : Out of nearly 400 people applied, 65 were shortlisted from the Online Test from which 35 were shortlisted after the Group Discussion round for interviews in different profiles and finally 7 were selected including 4 Business Analysts, 1 Platform Engineer, 1 Software Developer and 1 ML Engineer.
OT : The Online test has 7 sections. And importantly 4 sections are coding stuffs related to php, javascript, python, ML, basic coding etc. Though the shortlisting from OT was not based on all 7 sections as they understand that all departments might not know all sort of codings.
GD : My topic was "Automation: Boon or Bane". Some other topics were "Who is a better captain? MS Dhoni or Virat Kohli!", "How to improve the infrastructure of India?" etc.
Interview Round - 1: As there was no mention of ML Engineer profile before hand I had applied for Business Analyst and I was planning on shifting the interview from Analyst to ML Engineer. But that didn't happen as I expected. Though I succeeded a bit. It lasts for nearly an hour.
Interview Round - 2: As I had expressed earlier my interests on ML, the second round was a pure ML Questionnaire round. It was also a stress interview. Frankly speaking, after the 1.5 odd hours of interview I was completely drained.
Advice : Go thoroughly through your CV. Never, I repeat, Never ever put something on the CV which you are even half knowledge about. They dig from the surface to its core.
Interview questions [2]
Question 1
R1:
Q1. Describe a project that you are comfortable with.
Q2. A media boy has come to you, as you can assume yourself to be a Business Analyst. One of their show, which was doing great, is not doing so well now a days. Help them. (Case Study!)
R2:
Q1. Describe in detail a project which you have done.
Q2. How Feature Extraction work?
Q3. What is CNN and LSTM? Why did you use it?
Q4. What is Genetic Algorithm? (I had mentioned it as I worked upon in my Internship, but I had forgotten, so I couldn't reply)
Q5. What is KNN and Fuzzy Logic? How and where did you use it in your internship?
Q6. What are statistical and predictive modelling? And some other related quesions. (Based on my 3rd year Internship)
Q7. What is the probability of having the centre of a circle lie within the triangle formed by taking by any 3 points on the same circle? (Brain Teaser - 1)
Q8. Bisect an L - shaped figure with a single line, but you don't know its dimensions. (Brain Teaser - 2)