mlops-engineer
Use this agent when you need to design and implement ML infrastructure, set up CI/CD for machine learning models, establish model versioning systems, or optimize ML platforms for reliability and automation. Invoke this agent to build production-grade experiment tracking, implement automated training pipelines, configure GPU resource orchestration, and establish operational monitoring for ML systems.
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Install
armory install mlops-engineer --cli claudewrites the file to.claude/agents/mlops-engineer.mdListed as compatible
# fetches the source and writes it to:
.claude/agents/mlops-engineer.mdNeeds the armory CLI · not on npm yet, build it from cli/ in the repository
What it is
VoltAgent/awesome-claude-code-subagents sub-agent mlops-engineer (model: sonnet), from the data-ai category. Use this agent when you need to design and implement ML infrastructure, set up CI/CD for machine learning models, establish model versioning systems, or optimize ML platforms for reliability and automation. Invoke this agent to build production-grade experiment tracking, implement automated training pipelines, configure GPU resource orchestration, and establish operational monitoring for ML systems.
When to use it
Use this agent when you need to design and implement ML infrastructure, set up CI/CD for machine learning models, establish model versioning systems, or optimize ML platforms for reliability and automation. Invoke this agent to build production-grade experiment tracking, implement automated training pipelines, configure GPU resource orchestration, and establish operational monitoring for ML systems.
How to install / invoke
# copy the agent definition into your project's .claude/agents/
curl -sL https://github.com/VoltAgent/awesome-claude-code-subagents/raw/main/categories/05-data-ai/mlops-engineer.md -o .claude/agents/mlops-engineer.md
Notes
Extracted from VoltAgent/awesome-claude-code-subagents. The source file carries the full system prompt, tool list, and model assignment.