MLOps Mock Interview | Interview Questions for Senior MLOps Developers
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- čas přidán 27. 07. 2022
- This chapter of Turing Mock interviews takes a look at what MLOps is to understand what the technical interview for the role of an MLOps Developer would look like. Watch the video above to learn about the questions that might appear in an MLOps test and interview. Let us know in the comments below which tech stack you'd like us to cover next.
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Questions ❓
1:01 Introduce yourself, tell me about your background and profesional experience
1:51 Can you talk about some interesting MlOps projects you have worked in the past?
2:24 Would you like to talk some of the steps in the basic MLOps pipeline?
5:54 Why you think that we should be packaging ML models?
7:53 What is the difference between continuos integration, continuous delivery and continuous deployment?
9:44 What do you think are the benefits of having CI/CD pipelines in a machine learning system?
10:59 What are the different types of test that you can perform in the MLOps cycle?
13:09 What are some of the best practices that you follow while performing testing in MLOps cycle?
15:59 Why do you think we need model stores for our MLOps projects?
17:10 What do you think model drift is and what are the differents problems that relates to model drift and how have you overcome them in the past?
20:31 Would you mind talk about statistical methods vs statistical process control for data drift detection?
Great video thanks a Lot! It's gonna be very helpful on a project I've just started at work!
Well Done Faisal and David.
Good one. One question i would like to know is. Challenges faced by an MLops engineer in pipeline and how to mitigate it?
Welldone faizal
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Something in me says ... I would not hire this interviewer
What about ML engineers who are trying to break into MLOps. How should they get experience since companies only want experienced MLOps engineers.
Right. I think you can start practicing on your own.
Instead of conceptual, can we have one with questions on realtime work done by ml engineer?
That's exactly what I thought, too. The questions in the video are too general which I doubt can reflect the experience and ability of the interviewee.