Question 1

Tell me about the last model you put into production. What did the training, deployment, and monitoring loop look like?

Accepted Answer

Listen for: structured problem-framing, trade-off awareness, specific metrics or outcomes, and evidence of ownership beyond just the code.

Question 2

How do you decide between fine-tuning, retrieval augmentation, and prompting for a new use case?

Accepted Answer

Listen for: structured problem-framing, trade-off awareness, specific metrics or outcomes, and evidence of ownership beyond just the code.

Question 3

Walk me through how you evaluate and monitor a model in production.

Accepted Answer

Listen for: structured problem-framing, trade-off awareness, specific metrics or outcomes, and evidence of ownership beyond just the code.

Question 4

Describe a time a model behaved badly in production. How did you detect and remediate it?

Accepted Answer

Listen for: structured problem-framing, trade-off awareness, specific metrics or outcomes, and evidence of ownership beyond just the code.

Machine Learning Engineer interview questions

Questions to ask a machine learning engineer