What metrics would you monitor in production?
Senior Machine Learning Engineer Interview Questions
615 senior machine learning engineer interview questions shared by candidates
what do you think of yourself in 10 years?
Tech questions were around triton inference server, model optimisation techniques. Behavioural: 1. Tell me a time about feedback you received? 2. Tell me a time about feedback you shared with someone above you? 3. Tell me about a time you stepped outside your job description to make something succeed? 4. Tell me about a time you made progress when goals or requirements were unclear. 5. When did you ship fast? Did it fail? What were the key learnings?
They asked very specific questions about the project and didn't seem to understand my answer
How to classify a plant as working/non-working from low resolution satellite image and weather data.
Questions were broadly one of three types: 1) Technical design and model questions about the take home assessment 2) General technical questions about ML and software engineering 3) Behavioral questions. One example of a behavioral question was "Why are you interested in finding a new role currently?"
No position at all, how can they offer me a job. Its a black listed in my view.
Describe how CTC and Beam Search works in ASR
30 technical questions related to data/ML/cloud/devops/ and signal processing
General ML and ML system design.
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