GSK AI Engineer Interview Questions
The questions to prepare for a GSK AI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Design a low latency ML inference platform for high-frequency online predictions with strict response times and evolving model features.
GSKDesign an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
GSKHow to detect data drift and concept drift in production using metric shifts, control charts, and calibration checks.
GSKApproach for debugging a model that performs well in training but underperforms in production.
GSKTests algorithmic problem-solving using dynamic programming and complexity reasoning.
GSKReduce hallucinations in a RAG system even when retrieval is already correct, using grounding, verification, and evaluation.
GSKTests ability to implement embedding pipelines and vector retrieval for biological workflows.
GSKEvaluates foundational ML understanding behind transformer training dynamics.
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