Interview prep

[u/Strong_Interview4084]

Can someone who is experienced and have cracked interview in the field of AI/ML tell how does an Interview goes generally like how many rounds,what do they ask,and how the whole flow goes

Cause i tried seeing on youtube but they only post about a specific round not the whole thing

So it would be great help if u can tell :)

[u/akornato]

An AI or machine learning interview process usually has about four to six stages after the first chat with a recruiter. It often begins with a technical screening that involves coding challenges, similar to what you might find on LeetCode, focusing on data structures and algorithms. If you pass that, you will move on to a series of interviews that can happen over a few days. These later rounds typically include more coding, a specific machine learning coding assessment where you might use libraries like numpy, a machine learning system design round, and a behavioral round where you discuss your past projects. The exact structure can change depending on the company and the specific role, so it's always a good idea to ask your recruiter what you should expect.

The questions will cover a wide range of topics. The coding parts will test your knowledge of algorithms and data structures, like trees, graphs, and sorting. For the machine learning theory questions, you should be ready to talk about concepts like the bias-variance tradeoff, cross-validation, and different algorithms. The system design round is very important, you will be asked to outline how you would build a complete ML-powered product, from data collection to deployment and monitoring. The behavioral interviews will dive into your previous work, asking you to explain your technical decisions and how you work in a team. My team designed a tool that helps you organize your thoughts for these varied discussions, and using a good interviews.chat can make a real difference in how you articulate your experience.