J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Quantiphi (Bengaluru) en janv. 2022
Entretien
Interview process was smooth, got call from HR the day i applied and scheduled total 3 rounds of interview process, interview was very simple and answered all ML,DL and NLP but not in Computer vision since i did not have any experience on CV.
1) Online MCQ (mostly nlp,DL,ML,CV and python)
2) Technical interview (got rejected here)
3) HR interview
Questions d'entretien [6]
Question 1
1) Explain Decision trees, how how would a tree split numerical data.
5) What is one hot encoding with below scenario, suppose the column name is country with 5 values of diffrent country, if you apply OHC on this how many columns would be created?
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.
