Max life Insurance Interview Experience for AI Analyst Trainee

Hello, Whoever is reading this I hope you are doing great!

I appeared for Max Life Insurance Ltd. – AI works for the position of AI-Analyst Trainee through their on-campus drive. A little about Max Life Insurance Ltd., it is a financial insurance company that is opening its new branches in the field of Artificial Intelligence. I appeared for the shortlisting + interview in March 2023 through college placement for an AI-Analyst trainee role. The whole procedure was in virtual mode.

Job Title:-AI Analyst Trainee

Location:

Gurgaon – HO

Process details :

• Round 1 – Shortlisting
• Round 2 – Technical Round
• Round 3 – Interview

 Eligibility and Desired Qualification :

• M.tech/M.Sc. CS/IT/IE/Math/Stats/OR/AI/DS graduate from 2022 or 2023 batch
• Academic criteria (10th – 80%, 12th – 70%, Graduation – 60%)
• Knowhow of supervised/unsupervised ML algorithms -Logistic Regression / kNN/KMeans/Random Forest / SVM/XG Boost/Naïve Bias/Time series forecasting etc.
• Excellent programming skills in Python are mandatory, and hands-on experience in R is good to have
• Knowhow of working with cloud infrastructure and high-performance computing (GPU/TPU) be a plus

Round 1 – Shortlisting

This round was a simple CV shortlisting round based totally on the company’s preferences.

Round 2 – Tech Round

In this round, the interviewer asked me about

• My introduction
• Some basic statistics Question
• Excel Questions
• Python Questions – Loops, arrays, etc.
• One Puzzle
• A lot about my projects from my CV

They were very much focused on the technical knowledge of the candidate. Grilled the hell out on coding and problem solving skills.

Round 3- Tech/HR round

In this round, there were two interviewers. Question asked where

• My introduction
• Some questions from my project from CV
• Again Python and SQL questions
• Some Excel and Tableau questions
• Statistical concepts

It was supposed to be an HR round but only technical questions were asked from me.

 Hope this article helps you in any way possible and happy learning to all!