Accenture España AI Engineer Interview Questions

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Explain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Design an end-to-end product recommendation system for a large e-commerce marketplace with strict latency and freshness needs.

Explain how to evaluate a regression model using error metrics, validation, and residual analysis.

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.