Me postulé a través de una facultad o universidad. El proceso tomó 2 días. Acudí a una entrevista en Quantiphi
Entrevista
First round is Aptitude test consisting of sections Quants,Verbal,Logic,sql,programming , then they shorlist students according to the job profile. I received ML Job profile, next round was Tech interview where he asked ML theory and codes of projects. The interviewer totally screwed me here then the next was HR interview which was easy to crack.
Preguntas de entrevista [1]
Pregunta 1
What is Ml? Logistic Regression ? Stuff regarding projects
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.