HDI Global Insurance AI Engineer Interview Questions
The questions to prepare for a HDI Global Insurance AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a privacy-preserving ML workflow for regulated industries while maintaining model utility, auditability, and access control.
Design a privacy-preserving process for fine-tuning and prompting models while preventing sensitive data leakage.
Compute cosine similarity for equal-length high-dimensional vectors using dot products and Euclidean norms.
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Design an evaluation strategy for a multi-agent system operating in a real-world application.
Design an LLM serving architecture that manages long generation latency, GPU efficiency, reliability, and model quality.
Design a practical document chunking and indexing pipeline for accurate, efficient vector search.
Explain when fine-tuning beats advanced prompting and embeddings, considering quality, cost, latency, maintenance, and safety.
Select and justify the evaluation metrics needed to move an LLM from prototype testing to reliable production monitoring.