Me postulé en línea. Acudí a una entrevista en EY (Bengaluru) en oct 2021
Entrevista
Asked case study on the recommendation system. then we discussed few matrix factorization techniques.
Later he told me, how will you recommend a "new" product to the new users.
The second round was live coding.
Third round for CV detailed discussion (On graph gan)
The fourth round was the HR round.
Preguntas de entrevista [1]
Pregunta 1
1. Explain Matrix Factorization for the recommendation system.
2. Case study based question.
2. Explain generative adversarial networks.
3. Loss function of GAN
4. Coding question, solve n stairs problem. every time we can take step 1 ot step 2. print max possibles ways. use either dynamic or recursive approach.
Me postulé en línea. Acudí a una entrevista en EY (Milán) en sept 2025
Entrevista
3 colloqui di cui 2 tecnici e 1 con hr. follow up con hr dopo ciascuno step. passaggi rapidi tra uno step e l'altro e buona comunicazione. i colloqui tecnici sono stati il primo basato sul mio cv il secondo un live coding
Preguntas de entrevista [1]
Pregunta 1
esercizi di conoscenza base di sql e python. domande teoriche basate su cv
Me postulé en línea. El proceso tomó 4 semanas. Acudí a una entrevista en EY (Hyderabad) en jul 2025
Entrevista
Everything was good except the time they responded.
It's a delayed process. They took >2 weeks to respond to my second round. and finally said the position is already closed (after 2 weeks).
Apart from this other process was good. started from the basics and touched almost all topics.
1st round: basic to intermediate level with two coding questions.
2nd round: advanced level, more focused on LLM, ML ops.
Preguntas de entrevista [1]
Pregunta 1
touched almost all topics, including Python, NLP, LLM, Model architecture, ML Ops, Deployments (CI/CD).
Me postulé a través de un reclutador. El proceso tomó más de 1 semana. Acudí a una entrevista en EY (Indi, Karnataka) en feb 2025
Entrevista
I got the call from the HR, and there are 3 rounds 2 tech 1 hr. In first its related to GEN AI, RAG, Fine Tuning and Python coding
Second Round Tech + managerial
HR Salary etc
Preguntas de entrevista [1]
Pregunta 1
Question related to transformer , GENAI, RAG , Fine tuning , Deep Learning
Python Question === 1- 1??0?101??11. replace ? with all possibilities of 0 and 1
Question 2= Input [1,0,1,0,2,3,4,0,0,20]
Output=[1,1,2,3,4,20,0,0,0,0] without any library and in build function ( use loop only )