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
Perguntas de entrevista [1]
Pergunta 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
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.