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 weekly.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
CGI GroupDesign a production deployment path for a personalized ranking model, with serving, feature consistency, drift handling, and experiment driven rollout.
CGI GroupDiscuss the main ethical risks in deploying generative AI, including hallucination, misuse, privacy, and governance.
CGI GroupExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
CGI GroupImplement batch logistic regression with a stable sigmoid, L2 regularization, and gradient descent for CircleUp classification signals.
CGI GroupExplain how RAG combines retrieval and generation to produce grounded answers from a document collection.
CGI GroupTests your ability to select metrics, validation strategy, and interpret results for ML models.
CGI GroupTests your ability to diagnose failures across data, training, and deployment stages in ML systems.
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