Designs MLOps infrastructure for ML projects — serving stack selection, monitoring setup, retraining strategy, A/B testing plan, and cost estimation. Use when deploying or operationalizing ML models.
$curl -o .claude/agents/mlops-architect.md https://raw.githubusercontent.com/marvinrichter/clarc/HEAD/agents/mlops-architect.mdInstalls into the current project.
Install mlops-architect by running `curl -o .claude/agents/mlops-architect.md https://raw.githubusercontent.com/marvinrichter/clarc/HEAD/agents/mlops-architect.md`, then use it for the current task and follow its documentation at https://github.com/marvinrichter/clarc.