Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto 3 giorni. Ho sostenuto un colloquio presso Quantiphi (Visakhapatnam) nel mese di ago 2025
Colloquio
The interview consisted of 2 technical rounds, followed by a HR round. The interview questions focused mainly on Data Science and Machine Learning. This was from a campus recruitment drive. I got rejected in the very first round.
Domande di colloquio [1]
Domanda 1
I was asked the following questions:
Introduce yourself.
Explain your ML projects.
Write Python code to turn a list into a dictionary.
Write Python code to find if a number is a power of 2.
What are the different types of Machine Learning? What is the difference between Supervised and Unsupervised Learning?
Explain the bias variance tradeoff??
Have you worked with Object Detection before?
What is LangChain?
What is Docker?
Explain about LLMs.
What do you know about RNNs and GNNs?
Explain how you use the GROUP BY query in SQL.
Ho presentato la mia candidatura tramite l'università. Ho sostenuto un colloquio presso Quantiphi (Mumbai)
Colloquio
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
Ho sostenuto un colloquio presso Quantiphi (Palo Alto, LA)
Colloquio
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
Domande di colloquio [1]
Domanda 1
Transformer architecture encoder decoder and autoregressive models
Ho sostenuto un colloquio presso Quantiphi (Mumbai)
Colloquio
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.
Domande di colloquio [1]
Domanda 1
ML algorithms and its working based on projects in resume.