I applied through university. The process took 2 days. I interviewed at Quantiphi
Interview
First round is Aptitude test consisting of sections Quants,Verbal,Logic,sql,programming , then they shorlist students according to the job profile. I received ML Job profile, next round was Tech interview where he asked ML theory and codes of projects. The interviewer totally screwed me here then the next was HR interview which was easy to crack.
Interview questions [1]
Question 1
What is Ml? Logistic Regression ? Stuff regarding projects
I applied through 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.