CGI Group AI Engineer Interview Questions
The questions to prepare for a CGI Group AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a grounded LLM assistant that cuts unsupported claims below 2% while meeting strict latency, cost, and safety limits.
CGI GroupDiscuss the main ethical risks in deploying generative AI, including hallucination, misuse, privacy, and governance.
CGI GroupDesign a production deployment path for a personalized ranking model, with serving, feature consistency, drift handling, and experiment driven rollout.
CGI GroupExplain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.
CGI GroupImplement batch logistic regression with a stable sigmoid, L2 regularization, and gradient descent for CircleUp classification signals.
CGI GroupExplain how to select metrics, validate predictions, and analyze errors when evaluating a machine learning model.
CGI GroupExplain how RAG combines retrieval and generation to produce grounded answers from a document collection.
CGI GroupTests your ability to diagnose failures across data, training, and deployment stages in ML systems.
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