J'ai postulé en ligne. Le processus a pris 2 jours. J'ai passé un entretien chez jforce solutions en juill. 2022
Entretien
It consist of 3 rounds focused on Python and ML+DL+AI coding rounds and one-one with client at the end. There is no time limit you can sit in office for an day and solve the coding problems using ai tools for coding is not allowed
Questions d'entretien [1]
Question 1
Depends on your code and your approach towards the problem statement
J'ai postulé en personne. J'ai passé un entretien chez jforce solutions (Vile Parle) en mai 2026
Entretien
My first round started at 10:00 AM, where I was given a task to complete. I finished the task by around 11:30 AM and then waited for someone to review it and conduct the interview. However, no interviewer was available at that time. The company had a lunch break from 1:00 PM to 2:00 PM, and after lunch, an interviewer met with me around 2:30 PM.
The second round lasted only about 5 to 10 minutes. The interviewer asked a few basic and moderate-level Python questions. The questions were not particularly difficult or tricky.
J'ai passé un entretien chez jforce solutions (Mumbai)
Entretien
Worst interview process.
They will call you at 10am assign you a task and then will take interview at 5pm
Not once twice. ( basic round then advance round )
After that they will call you for management round and will take intense personal interview with coding round.
After all of that they will ask you to join company for 1 week to see how you work. Then they will decide if they want to hire you or not.
J'ai postulé en ligne. Le processus a pris 2 jours. J'ai passé un entretien chez jforce solutions (Vile Parle) en juin 2023
Entretien
The assessments were kind of open book test. I was allowed to use any resources from internet to solve the problem except ChatGPT or AI tool. They wanted to test out the problem solving skilss.
Questions d'entretien [1]
Question 1
R1: It was a python test. they had given me table in consisting the information about all tests given by students. each entry in data was representing the test score. so I had to group them using pandas and pivot them by subject wise. I wrote the solution anyhow. then interview was based on basic of python and my solution. Round2: After clearing the round1 i got invitation for the r2 i.e NLP round. this time they had given me the dataset of customer problems and sub problems. I had to train a NLP model that can classify the type of problems into different category. I was learning NLP at that stage so I could not perform well in R2. but yeah I learned alot in these process.
