EPAM Systems AI Architect Interview Questions
The questions to prepare for a EPAM Systems AI Architect interview. Questions from real interview reports rank first. Updated daily.
Discuss how to build ML pipelines that are repeatable, traceable, and observable across training and deployment.
EPAM SystemsApproach for keeping pipeline configuration aligned across environments while controlling drift, secrets, and release risk.
EPAM SystemsDesign a real-time predictive analytics platform for high-throughput streams, covering ingestion, online inference, feedback, and reliability.
EPAM SystemsDesign an ML inference architecture that meets performance goals while minimizing cloud compute and operational cost.
EPAM SystemsExplain how to select, train, deploy, monitor, and govern traditional ML models using Azure AI services in an enterprise architecture.
EPAM SystemsApproach for monitoring a model in production and spotting drift, threshold issues, and calibration loss.
EPAM SystemsExplain how to select an enterprise LLM by balancing accuracy, latency, cost, safety, and operational constraints.
EPAM SystemsCompare fine-tuning and RAG for production, including data flow, updates, cost, latency, quality, and safety tradeoffs.
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