J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 3 jours. J'ai passé un entretien chez Quantiphi en juil. 2024
Entretien
Quantiphi is an ML/AI product based company. Your marks obtained in preliminary round decides the role you are eligible for. All the rounds are eliminatory. The interview process of quantiphi consisted of 4 rounds.
1. Online Assessment :
This assessment is an preliminary round which decides the role you will qualify for. The order for qualification is FE, ML and BA. It consisted of 80 mcqs and 2 coding questions for a duration of 90 mins.
2. Technical Interview :
In this round, we had a one-on-one conversation with our interviewer. Firstly, there was a brief introduction, followed by questions on core concepts like OOPs, Dynamic Programming, and cross-questioning on the technologies in which I had gained experience.
3. Project Round:
This round was also a one-on-one conversation with the interviewer. Here, the interviewer asked me about my projects from resume which were AI/ML based and asked me to describe the thought process and my roles in the projects. Then, he asked questions to test skills on the technologies i had mentioned.
4. HR Round:
In this round the HR asked me about myself , how was my interviews and why I want to join Quanitphi as a ML engineer.
Questions d'entretien [1]
Question 1
SQL: Find the last 3 students from a student table.
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.