I applied through college or university. I interviewed at Quantiphi in Jun 2019
Interview
I interviewed for the position of machine learning engineer in June 2019 through the campus recruitment. the initial round consisted of MCQ's test . Then we had to go through technical interview conducted at their office followed by the HR interview. The overall technical interview was good based mostly on my CV and my ML projects in detail. The HR round also seemed to be okay.. but hard luck.. Also I had been waiting for the interview since morning 9 am.. and my tech interview happened like after nearly 6-7 hours. A huge waste of time. Also the results took like a month to be announced.. and also some people who have received the offer.. have yet not received the offer letter from the firm.
I applied through college or university. I interviewed at Quantiphi (Mumbai)
Interview
4 Rounds
1 - Test -> Aptitude, CSE Fundamentals, Coding
2 - Technical Round 1: Resume based questions and some fundamentals of ML and AI
3 - Technical Round 2: Resume based questions and indepth questions on architectures, frameworks and fundamentally important parts
4 - HR
Pretty easy basic ml question and transformer architectures , no leetcode or ml system design questions, Transformer architecture encoder decoder and autoregressive models Transformer architecture encoder decoder and autoregressive models
Interview questions [1]
Question 1
Transformer architecture encoder decoder and autoregressive models
The process has three rounds: one aptitude test, one technical round on ML basics, algorithms, logical reasoning puzzles, project-related questions, and one HR round focusing on reasoning behind ML model choices.
Interview questions [1]
Question 1
ML algorithms and its working based on projects in resume.