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?
Generally questions about projects skills motivations
ML system design and Explanation of 1 recent project
1. Build a FastAPI app that validates json (went over this project in the panel interview where they ask about design choice and trade offs) 2. Coding interview - not super hard.
System design, data structures and algorithms
Explain docker networking in detail
It's hard to recall right now, but in general previous experience questions and some basic ML theory. No coding part, no programming questions
What metrics would you monitor in production?
The interview focused on ML fundamentals and evaluation metrics. We also went through a practical case related to face analysis and image generation
Relevant job experience to the role
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