Design ML deployment with GitHub and Jenkins

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Quick Overview

Design an end-to-end deployment pipeline for a prediction model, taking it from a GitHub commit through Jenkins CI/CD to a monitored production service. Make every prediction reproducible for audits, protect customer data, and support rollback within 15 minutes.

Design ML deployment with GitHub and Jenkins

Company: Capital One

Role: Data Scientist

Category: Machine Learning

Difficulty: medium

Interview Round: Onsite

Overview: Design an end-to-end deployment pipeline for a prediction model, taking it from a GitHub commit through Jenkins CI/CD to a monitored production service. Make every prediction reproducible for audits, protect customer data, and support rollback within 15 minutes.

Read the full Capital One Data Scientist interview experience this question came from

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Capital One
Oct 13, 2025
mediumData ScientistOnsiteMachine Learning
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