Solicité el puesto a través de la escuela superior o la universidad. Acudí a una entrevista en Quantiphi en ago 2022
Entrevista
The interview process consists of 1 aptitide + 2 technical rounds (No HR round)
Aptitude round - Total of 80 questions ( 78 + 2 coding ( medium-level ))
First Technical Interview :-
The interviewer was very friendly and asked some basic questions about python and machine learning and AI (regularization, dropout layers etc.) and some questions regarding my project
Second Technical Interview :-
This interview was more focused on my work that I had done in my internships. The interviewer also asked some questions on a machine learning case study and in the end asked some easy coding questions to solve
Preguntas de entrevista [1]
Pregunta 1
The interview process consists of 1 aptitide + 2 technical rounds (No HR round)
Aptitude round - Total of 80 questions ( 78 + 2 coding ( medium-level ))
First Technical Interview :-
The interviewer was very friendly and asked some basic questions about python and machine learning and AI (regularization, dropout layers etc.) and some questions regarding my project
Second Technical Interview :-
This interview was more focused on my work that I had done in my internships. The interviewer also asked some questions on a machine learning case study and in the end asked some easy coding questions to solve
Solicité el puesto a través de la escuela superior o la 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.