I applied through university. The process took 2 weeks. I interviewed at Quantiphi (Bengaluru) in Sep 2021
Interview
The interview process was as follows:
Online Test: It had 8 sections every section had time limits. The sections were divided into Aptitude, Logical, Verbal, HTML JS CSS DBMS OOPs Pandas and 1 Coding question.
Technical Interview 1: The duration of the interview was 30 mins.
Started with Introduce yourself.
Asked me if I knew ML, he asked me about types of ML.
We discussed the project I mentioned in my resume, its usage and functionalities, and real-world implementation.
He gave me one coding question: print all the prime numbers from 2 to ‘N’ and their sum (it was an easy one). He was also checking how I would approach a problem(he was directly looking for an optimized approach rather than a brute-force approach ).
he then asked me about my proficiency in python.
He then asked me one case study question on the sugar consumption of Gujarat provided with the data of average sugar consumption of all the states except Gujarat.
Lastly, any questions to which I asked him about his journey in the company
Technical interview 2: The duration of the interview was 30 mins.
Started with Introduce yourself.
How proficient are you in ML.
Statistics in ML.
2 Case study question
The first one was to select a player to a cricket team
The second one was to increase the revenue of a Restaurant
Then he asked me to find the defective barcode and write the code in python.
Lastly, any questions to which I asked him about his journey in company.
Interview questions [1]
Question 1
The interviewer asked me a case study based questions on Stats
I applied through university. I interviewed at Quantiphi (Mumbai)
Interview
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
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
Interview questions [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.
Interview questions [1]
Question 1
ML algorithms and its working based on projects in resume.