mlops_production_patterns
Production ML infrastructure patterns for model deployment, monitoring, and lifecycle management.
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# MLOps Production Patterns Production ML infrastructure patterns for model deployment, monitoring, and lifecycle management. --- ## Table of Contents - [Model Deployment Pipeline](#model-deployment-pipeline) - [Feature Store Architecture](#feature-store-architecture) - [Model Monitoring](#model-monitoring) - [A/B Testing Infrastructure](#ab-testing-infrastructure) - [Automated Retraining](#automated-retraining) --- ## Model Deployment Pipeline ### Deployment Workflow 1. Export trained m
How to Use
Recommended: Install to project (local)
mkdir -p .claude/skills
curl -o .claude/skills/mlops_production_patterns.md \
https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/senior-ml-engineer/references/mlops_production_patterns.mdSkill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.
Alternative: Clone full repo
git clone https://github.com/alirezarezvani/claude-skillsThen reference at engineering-team/senior-ml-engineer/references/mlops_production_patterns.md
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