Envié una solicitud electrónica. El proceso duró 6 semanas. Acudí a una entrevista en NonStop io Technologies (Pune) en ene 2024
Entrevista
I was given a web scrapping task initially then followed by 4 interviews. 2 technical, 1 semi-technical, and 1 managerial. Overall the process was easy and interviewers were really friendly. This entire process took place for 1.5 months.
Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 3 días. Acudí a una entrevista en NonStop io Technologies (Pune) en sept 2024
Entrevista
There were 4 rounds
1-Technical Assessment
3-Interviews
The Technical assesment had 6 coding questions which were to be solved in an hour.
The interviews I was asked questions related to Ml, GenAI, OOPS, DSA, etc.
Preguntas de entrevista [1]
Pregunta 1
What is RAG?
Why are documents divided into chunks in RAG?
What is Under fitting & Over fitting?
What is Binary search?
What is Inheritence, Encapsulation & Abstraction?
Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 1 día. Acudí a una entrevista en NonStop io Technologies (Pune) en sept 2024
Entrevista
First Round (Pen Paper Based ) -
2 coding questions , 2 sql question , 1 linux commands , 2 finding error and output .
Second Round (Interview)-
Introduction and Resume based question
Third Round (interview)-
ML,OOPs and DBMS questions and project based question
Fourth Round (HR Round)-
Normal HR questons
Fifth Round(Final Round)-
Execute project based on resume
Preguntas de entrevista [1]
Pregunta 1
Mostly Resume Based Questions like what technology used etc
Solicité el puesto a través de la recomendación de un empleado. El proceso duró 2 semanas. Acudí a una entrevista en NonStop io Technologies (Pune) en abr 2024
Entrevista
It was such a nice experience, HR, leads and interviewers all are very helpful, provide guidance during interview, they are checking your approach to tackle problem! Checking your problem solving abilities!
Preguntas de entrevista [1]
Pregunta 1
Very nice experience!
Questions on
1. ML Algorithms - Linear Regression, knn, similarity search
2. Python - prime numbers, fibonacci, Merge Sort
3. SQL - basic
4. API
5. Generative AI assignment, (Chat with Images), deploying on huggingface
6. EDA assignment on data
7. Basics Questions of Data Science/ML like what is mean, median, mode etc.
8. What is deep learning, how many layers in CNN, RNN, what is learning rate and it's value
9. aware of gpt, bert, gemini models?
(Problem Solving Matters)