J'ai postulé via un établissement d'enseignement supérieur ou universitaire. J'ai passé un entretien chez Quantiphi (Mumbai) en sept. 2019
Entretien
A technical round interview followed by an HR round. In my case, both were telephonic. In the technical round, they ask the projects mentioned in your CV and then they go in the working of algorithms of models used in the project
Questions d'entretien [1]
Question 1
They asked about your projects mentioned in the CV. In my case, they asked me to explain how the ML algorithms mentioned in my CV works.
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.