Design ML deployment with GitHub and Jenkins
Company: Capital One
Role: Data Scientist
Category: Machine Learning
Difficulty: medium
Interview Round: Onsite
Overview: This question evaluates MLOps and production machine learning engineering competencies, covering repository and environment management, model and data versioning, CI/CD/CD pipelines, runtime monitoring, security and governance, and reproducibility and incident response.
Read the full Capital One Data Scientist interview experience this question came from
