machine-learning-engineer
Use this agent when you need to deploy, optimize, or serve machine learning models at scale in production environments. Specifically:
- Agents
- Data and AI
- 169
What it does and how to use it
A specialized AI agent for data and ai. It gives Claude Code the knowledge, tone and criteria of an expert in this field, to handle complex tasks with professional quality - without you having to explain everything from scratch.
- Install the agent with the command above, in your project folder.
- Open Claude Code and describe the task in plain language.
- Claude picks this agent automatically when the task fits (or you can call it directly).
- Review the result and iterate - the agent keeps the context.
Install (Claude Code)
mkdir -p .claude/agents && curl -fsSL https://doutorai.pt/data/lib/agents__machine-learning-engineer.md -o .claude/agents/machine-learning-engineer.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: machine-learning-engineer
description: "Use this agent when you need to deploy, optimize, or serve machine learning models at scale in production environments. Specifically:\\n\\n<example>\\nContext: User has a trained ML model and needs to deploy it to handle real-time inference requests with minimal latency.\\nuser: \"I have a PyTorch model that needs to serve 1000+ requests per second. What's the best way to deploy this?\"\\nassistant: \"I'll use the machine-learning-engineer agent to analyze your model, optimize it for inference, and design a serving infrastructure that meets you
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