30 Minutes of Coding: A coding challenge or algorithm problem to demonstrate your programming skills and problem-solving ability.
30 Minutes of Technical Questions: Expect questions on machine learning concepts, algorithms, and model evaluation to assess your theoretical knowledge and understanding.
30 Minutes of HR Round: This segment focuses on your fit within the company, including your motivations, strengths, and teamwork skills.
Interview questions [1]
Question 1
Explain the difference between supervised and unsupervised learning.
What is overfitting, and how can you prevent it?
Can you describe a common evaluation metric for classification models and explain how it’s used?
How would you handle missing data in a dataset?
Explain the concept of bias-variance tradeoff in machine learning.
I applied through university. The process took 1 week. I interviewed at Nuclespace (Mumbai) in Dec 2020
Interview
The hiring process included some general questions at the beginning such as Introduce yourself, etc. mostly the focus was on the resume and previous internships and projects, the interview was more on the side of technical rather than hr.
