I interviewed for ML Infra.
The first round was Data Reliability & Governance. It was kind of a discussion-based design round. We talked about:
- availability
- freshness
- completeness
- validity
- consistency
- distribution
- compliance
- lineage
- data quality
We also talked about the feature store, how to monitor it, and how to do data backfill.
The second round was ML Systems Design. I was asked to design a real-time model inference platform. We talked about model deployment, how to scale it, and how to monitor it.
Both rounds went well.
Discussion
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