Technical practice
How would you choose and evaluate a machine-learning approach for an application?
What to coverThe role requires proficiency in machine learning. Suggested preparation: explain how you would define the objective, establish a baseline, select evaluation measures, and weigh model quality against deployment constraints.
How would you handle data preprocessing and feature engineering before training?
What to coverThe posting calls for familiarity with both techniques. Suggested preparation: discuss data-quality checks, leakage prevention, feature choices, and how you would keep training and application inputs consistent.
When would you use a deep-learning model, and how would you implement it?
What to coverThe posting names deep learning, neural networks, and a strong understanding of TensorFlow or PyTorch. Suggested preparation: explain a suitable use case, your model and training choices, and how you would diagnose poor generalization.
How would you design a production-ready AI application pipeline?
What to coverThe role involves AI applications with cloud or on-premises pipelines and production-ready quality. Suggested preparation: walk through data inputs, model integration, application outputs, and checks that would help the pipeline operate reliably.
What would shape your choice of cloud deployment approach for an AI solution?
What to coverThe posting asks for experience deploying AI solutions on AWS, Azure, or Google Cloud and mentions cloud AI services. Suggested preparation: compare a service-based deployment with other suitable options in terms of integration, operational effort, performance, and scalability.
When would generative AI improve a solution, and when would you avoid it?
What to coverThe role calls for applying generative AI models as part of a solution where appropriate. Suggested preparation: explain how you would assess task fit, output quality, limitations, and whether a simpler approach would suffice.
How would you approach a chatbot application?
What to coverChatbots are listed as a possible aspect of the work, not a stated requirement for every project. Suggested preparation: describe how you would define useful responses, integrate the chatbot into an application, and evaluate failure cases.
How would you approach an image-processing problem?
What to coverImage processing is another possible aspect of the role. Suggested preparation: discuss input preparation, a suitable model or algorithm, evaluation against the task, and trade-offs in processing cost.
How would you improve an AI algorithm's performance and scalability?
What to coverThe posting explicitly calls for implementing and optimizing algorithms for performance and scalability. Suggested preparation: explain how you would identify a bottleneck, compare candidate changes, and verify that gains do not compromise the required output quality.
How would you troubleshoot a pipeline that works in development but underperforms in production?
What to coverThe role combines production-ready pipelines with responsibility for high-quality AI applications. Suggested preparation: describe how you would isolate data, model, integration, and resource issues, then test a fix before relying on it.
Behavioural practice
Tell me about a team decision you were responsible for.
What to coverThe role expects the engineer to manage and collaborate with a team and take responsibility for team decisions. Suggested preparation: use a real situation, your decision-making actions and trade-offs, and the result.
Describe a problem you solved across multiple teams.
What to coverThe posting calls for contributing to key decisions and solving problems beyond the immediate team. Suggested preparation: give a real situation, how you coordinated people with different priorities, what you did, and the result.
Give an example of sharing expertise that improved a team's capabilities.
What to coverThe role expects an SME who facilitates knowledge sharing. Suggested preparation: describe a real knowledge gap, the session or support you provided, and the resulting change.
Tell me about a time you addressed progress that was drifting from a strategic goal.
What to coverThe posting calls for monitoring project progress and maintaining alignment with strategic goals. Suggested preparation: explain a real situation, how you identified and communicated the gap, the action you took, and the result.