EPAM Systems Machine Learning Engineer Interview Questions
The questions to prepare for a EPAM Systems Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.
Implement exact k-nearest-neighbors classification using a KD-tree, bounded max-heap, and deterministic vote tie-breaking.
EPAM SystemsReverse a singly linked list in place using pointer manipulation.
EPAM SystemsDesign an ML application built with microservices for feature computation, inference, orchestration, and monitoring.
EPAM SystemsDesign a low-latency ML system for real-time predictions with online features, model serving, and monitoring.
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Pick the right metrics to evaluate a machine learning model and explain why they fit the problem.
EPAM SystemsExplain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.
EPAM SystemsDesign a randomized experiment for a machine learning feature, covering metrics, power, hypothesis testing, and causal validity.
EPAM SystemsTests end-to-end understanding of building, validating, and deploying ML systems.
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