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JUNIOR LEVEL

Interview Questions for ML Ops Engineer

What programming languages are you proficient in? How have you applied them in your previous work?

Are you familiar with containerization and orchestration technologies? How have you used them before?

Have you worked with big data technologies and databases before? If so, please provide examples.

Have you contributed to the development of ML infrastructure and platforms before? If yes, please provide details.

Describe a time when you faced a complex problem in your previous work. How did you approach and solve it?

How do you stay updated with the latest industry practices in ML Ops? Can you provide an example of how you have contributed to the improvement of ML processes in your previous work?

Can you describe a project where you developed and maintained ML pipelines for automated training, testing, and deployment of models?

Can you give an example of a machine learning concept or algorithm that you are familiar with?

What cloud computing services have you worked with? How have you utilized their machine learning tools?

Give an example of a project where you collaborated with cross-functional teams to understand operational requirements and translate them into ML solutions.

How do you ensure the health and performance of machine learning models in production? Can you describe a time when you had to troubleshoot and analyze the root cause of an issue?

Other Experience Levels

Junior (0-2 years of experience) Level
Intermediate (2-5 years of experience) Level
Senior (5+ years of experience) Level