Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 1 día. Acudí a una entrevista en Quantiphi
Entrevista
Statistics and Traditional Machine Learning Questions. Questions on academic projects and internships. Nothing in deep. The basics should be enough to clear. The first round was arount data stuff. The second round around ML. The final was HR round with fun questions.
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.