3 round interview with first round covering basic Supervised ML and basic DL after with a easy question on python programming and pandas .
second round consisting of good programming skills of classical ML models and data cleaning and feature engineering and third round was a HR one.
Interview questions [1]
Question 1
introduction, basic Classical ML and DL questions, Binary search in python and a question on pandas dataframe
4 rounds:
1st round classical ml question from basic to advanced.
2nd advanced ml with some neural network' some basic question on neural network like backpropogation loss function etc.
3rd python coding like basic pandas library, numpy and matplotlib
4th hr round
Interview questions [1]
Question 1
classical ML from basic to advanced level expect anything in interview
I applied through college or university. The process took 2 days. I interviewed at Info Edge in Feb 2025
Interview
They keep the entire process very conceptual, in and out of every topic is asked, be it Deep Learning, Machine Learning, Linear Algebra, Probability, Statistics, etc.
Also, there is no DSA round, instead one ML coding round is present. In total there are 4 rounds of interview as follows:
1. Basic Technical Concepts (from almost all the topics)
2. ML Coding round
3. Technical Round (with senior data scientists)
4. HR Round
Interview questions [1]
Question 1
Explain various probability distributions and how they are related to the data we handle in daily life.
