Optum Technology Machine Learning Engineer Interview Questions
The questions to prepare for a Optum Technology Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.
Explain how the bias-variance tradeoff guides model selection and generalization.
Optum TechnologyExplain how bias and variance affect generalization, and how model complexity changes the balance.
Optum TechnologyApproach for handling schema changes and data quality checks in a high-volume data lake pipeline.
Optum TechnologyBest practices for reproducible dataset and model versioning in shared ML pipelines.
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Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
Optum TechnologyDesign a shared feature store for training and low-latency inference across many ML systems with strict freshness and consistency needs.
Optum TechnologyApproach for continuously monitoring a deployed model and keeping performance stable as data changes.
Optum TechnologyChoose the right classification metrics, and explain when precision, recall, and F1 score matter most.
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