I applied online. The process took 3 months. I interviewed at Quantiphi
Interview
I was sporadically reached out to by recruiter over a period of months. I had several initial, basic interviews for various machine learning positions. Questions were not very technical, but I can't be sure if there would not have been more technical interviews had I gotten further along in the interview process. I was never formally rejected for the job; communications just gradually petered out over time.
Interview questions [1]
Question 1
What is your favorite machine learning method? Describe it to me and explain why you like it?
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.