Candidatei-me por meio de uma faculdade ou universidade. O processo levou 2 dias. Fui entrevistado pela Quantiphi (Indore) em ago. de 2022
Entrevista
I applied through the campus recruitment program. The process started with an online test which consisted of 80 questions(2 coding questions, a few SQL MCQ, DS MCQ, quant, verbal, logical and some data interpretation) which had to be done in under 86 minutes. After shortlisting and role assignment on the basis of test 2 interviews (extra GD round for BA profile) take place.
Perguntas de entrevista [1]
Pergunta 1
All interviews start with your introduction.
In the first round, I was asked the basics of ML the standard algorithms being used, one coding question to count the frequency of a character in a string, and a logical puzzle( you have a 5L bottle and a 3L bottle and an unlimited source of water, extract 4L of water). The second round was more of a techno hr round with more focus on technical. The interviewer asked about linear regression and some statistic definitions and one SQL question to join 3 tables.
Candidatei-me por meio de uma faculdade ou universidade. Fiz uma entrevista na empresa Quantiphi (Bombaim).
Entrevista
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
Fiz uma entrevista na empresa Quantiphi (Palo Alto, LA).
Entrevista
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
Perguntas de entrevista [1]
Pergunta 1
Transformer architecture encoder decoder and autoregressive models
Fiz uma entrevista na empresa Quantiphi (Bombaim).
Entrevista
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.
Perguntas de entrevista [1]
Pergunta 1
ML algorithms and its working based on projects in resume.