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ML model deployment and serving subagent v1.0.0

Use this resource to deploy and serve machine learning models at scale

New

  • 234 downloads
  • 123 likes
  • 242 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-model-serving-subagent

First time: connect the CLI with

npx --yes palatekit@latest login

The machine-learning-engineer subagent is called for production models: deployment pipelines, inference serving, load balancing, autoscaling, optimization (quantization, distillation) and rollback procedures.

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Updated November 2, 2026

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Details

Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • The subagent file (in English): role, checklist and ML deployment steps
  • Guidance on latency, throughput and model versions

Good fit for

  • A model trained in a notebook that must answer online requests
  • A team updating its models without a way to roll back

Not for

    Tags

    • machine learning
    • deployment
    • inference
    • scaling

    About

    You say

    “Prepare the deployment of this scoring model with versioning and automatic rollback.”

    Card for “ML model deployment and serving subagent”

    Subagent published by VoltAgent under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Copy the file into .claude/agents/ (project) or ~/.claude/agents/ (all your projects)
    2. Ask your agent to deploy and serve machine learning models at scale, or call the subagent by name
    3. Review its work

    Content preview

    Files

    • LICENSE1.1 KB
    • ml-model-serving-subagent.md6.6 KB
    • NOTICE-PALATEKIT.md0.5 KB

    Origin and licence

    Listed unmodified

    Author
    VoltAgent
    Source
    github.com/VoltAgent/awesome-claude-code-subagents/blob/f2e2ea7e0202cc05fa2d469fcb2c57fe08603450/categories/05-data-ai/machine-learning-engineer.md
    Licence
    MIT

    Notice

    « machine-learning-engineer » (VoltAgent, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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