Curinos AI Engineer Interview Questions
The questions to prepare for a Curinos AI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Compare RAG and fine-tuning, and decide when each is the better fit for an LLM product.
CurinosExplain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.
CurinosExplain how to evaluate an AI model using the right metrics and how metric choice depends on the business goal.
CurinosStructured approach for diagnosing an underperforming model and deciding whether to fix data, thresholding, calibration, or the model.
CurinosExplain how to evaluate and improve a classifier when the target classes are highly imbalanced.
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Design an ML system that ranks banking offers for online customers using retrieval, ranking, and re-ranking.
CurinosExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
CurinosDesign a distributed ML serving platform that stays available and scales under failures, traffic spikes, and model updates.
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