DevOps/ML Engineer (m/f/d) at Machine Learning Reply · Munich
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AWS
A time you used AWS: the problem, what you did yourself, and what happened.
From the ad's requirements
Azure
A time you used Azure: the problem, what you did yourself, and what happened.
From the ad's requirements
GCP
A time you used GCP: the problem, what you did yourself, and what happened.
From the ad's requirements
Databricks
A time you used Databricks: the problem, what you did yourself, and what happened.
From the ad's requirements
Education
Your studies or training, or the equivalent experience if the ad allows it.
The ad says: “Bachelor’s / master’s degree”
From the ad's requirements
Languages: English
Be ready to answer a question or two in that language, and say where you've used it at work.
From the job listing
in computer science or any other related fileds (e.g. engineering, statistics, physics).
An example from your own work that shows this.
From the ad's requirements
First practical experience
An example from your own work that shows this.
From the ad's requirements
DevOps/MLOps
An example from your own work that shows this.
From the ad's requirements
principals and computing platforms like
An example from your own work that shows this.
From the ad's requirements
as well as
An example from your own work that shows this.
From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for Machine Learning Reply on JobRipe yet. Use the job ad and our guide below.
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Interview difficulty and process length appear once 5 candidates have reported them.
Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Rigour.
How to answer: Metric choice, baselines, offline vs online tests.
Why they ask: Communication.
How to answer: Problem, approach, impact, limits.
Why they ask: Machine Learning is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: AWS is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Questions to ask them