Interview had three rounds:
Round 1:
Online multiple choice questions - Deep Learning, Machine Learning, Data Science
Round 2:
Virtual Interview (Technical) - Deep Learning, Machine Learning, Data Science
Past experience
Projects and CV
Round 3:
Virtual HR Interview - Expectations and work culture discussion
Questions d'entretien [1]
Question 1
CNN - final size of an image after passing through a 3x3 filter without padding
Activation function
Loss function
Gradient descent
Decision Tree and Random Forest
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.