J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 2 jours. J'ai passé un entretien chez Quantiphi
Entretien
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.
Questions d'entretien [1]
Question 1
What is Ml? Logistic Regression ? Stuff regarding projects
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. J'ai passé un entretien chez Quantiphi (Mumbai)
Entretien
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
J'ai passé un entretien chez Quantiphi (Palo Alto, LA)
Entretien
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
Questions d'entretien [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.
Questions d'entretien [1]
Question 1
ML algorithms and its working based on projects in resume.