J'ai postulé via un établissement d'enseignement supérieur ou universitaire. J'ai passé un entretien chez Novartis en avr. 2020
Entretien
1 screening round and two interviews with director and manager.
In the screening round you answer a couple of questions like why you want the internship there. The other two round are combination of technical and behavioral questions. The technical questions are about the ML models you build, how you measure the effectiveness of the model, the deployment of the model, etc.
Questions d'entretien [1]
Question 1
questions about your past experience, projects you worked on, models you build, why you build that specific model, etc.
pretty smooth with three round totally. first round is phone call from hr and the following two round are hm - hm. and the offer call is just 2 hours later from the last interview.
Questions d'entretien [1]
Question 1
did you have mistake? how do you handle it. do you like work independently or with a team.
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 1 jour. J'ai passé un entretien chez Novartis (Hyderâbâd) en oct. 2024
Entretien
Two rounds - Technical and HR
Technical Round - Classical ML and scrutiny about resume
HR Round - Standard Behavioural questions
Friendly interviewer and good practical questions.
Will check company fit and would ask whether you would like to work in something like the healthcare industry, particularly catering to the US market
Questions d'entretien [1]
Question 1
How would you check whether a model is performing well?
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 2 jours. J'ai passé un entretien chez Novartis (Vellore) en sept. 2024
Entretien
The interview process was very easy. There are totally 4 rounds . First round is online test, where you will be asked about aptitude and simple programming questions. After online test, there will be 2 technical rounds. First round will be easy and the second round the questions were asked from AI/ML domain. The last round is the HR round. The process was very smooth.
Questions d'entretien [1]
Question 1
Explain about RAG and the roadmap process?
Explain linear regression, random forest and SVM?