Me postulé en línea. El proceso tomó 2 semanas. Acudí a una entrevista en Quantiphi (Bengaluru) en ene 2022
Entrevista
Interview process was smooth, got call from HR the day i applied and scheduled total 3 rounds of interview process, interview was very simple and answered all ML,DL and NLP but not in Computer vision since i did not have any experience on CV.
1) Online MCQ (mostly nlp,DL,ML,CV and python)
2) Technical interview (got rejected here)
3) HR interview
Preguntas de entrevista [6]
Pregunta 1
1) Explain Decision trees, how how would a tree split numerical data.
5) What is one hot encoding with below scenario, suppose the column name is country with 5 values of diffrent country, if you apply OHC on this how many columns would be created?
Me postulé a través de una facultad o universidad. Acudí a una entrevista en Quantiphi (Mumbai)
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
Acudí a una entrevista en 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
Preguntas de entrevista [1]
Pregunta 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.
Preguntas de entrevista [1]
Pregunta 1
ML algorithms and its working based on projects in resume.
