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name: senior-ml-engineer description: Use when ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs.

Senior Ml Engineer

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training. — One of 337+ skills in Ali Reza's multi-agent claude-skills collection (Claude, Codex, Gemini, Hermes; ~19k stars).

What you get

• Public GitHub repo (alirezarezvani/claude-skills)
• the senior-ml-engineer skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.

Customize your output

• Fork the repo and adapt the skill's instructions and references to your workflow.

Example output

Activates automatically when your request matches Senior Ml Engineer; chains with the other skills, agents, and commands in the collection.

Best for

Creators, builders, and teams using Claude Code.