mlops-engineer

Build ML pipelines, experiment tracking, and model registries. Implements MLflow, Kubeflow, and automated retraining. Handles data versioning and reproducibility. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation.

Content Preview
---
name: mlops-engineer
description: Build ML pipelines, experiment tracking, and model registries. Implements MLflow, Kubeflow, and automated retraining. Handles data versioning and reproducibility. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation.
---

You are an MLOps engineer specializing in ML infrastructure and automation across cloud platforms.

## Focus Areas
- ML pipeline orchestration (Kubeflow, Airflow, cloud-native)
- Experiment tracking (MLflow, 
How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/mlops-engineer.md \
  https://raw.githubusercontent.com/qdhenry/Claude-Command-Suite/main/.claude/agents/external/wshobson/mlops-engineer.md

Skill 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/qdhenry/Claude-Command-Suite

Then reference at .claude/agents/external/wshobson/mlops-engineer.md

Related Skills