EPAM India Machine Learning Engineer Interview Questions
The questions to prepare for a EPAM India Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.
Explain how Docker and Kubernetes differ in a pipeline environment, especially around packaging, runtime, orchestration, and operations.
Best practices for reproducible dataset and model versioning in shared ML pipelines.
Approach for diagnosing a sudden production accuracy drop, isolating root cause, and selecting the right fix.
How to detect data drift and concept drift in production using metric shifts, control charts, and calibration checks.
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Tests your ability to design scalable deployment workflows for ML services on Kubernetes.
Assesses your Python fundamentals for performance and dependency management in ML projects.
Evaluates your ability to implement and reason about modern LLM application patterns.
Evaluates your understanding of core LLM concepts and common pitfalls in real systems.