Skillzwave

senior-ml-engineer

3 stars 0 forks Updated Nov 29, 2025
45.8

World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.

Commands Hooks
#ml engineer integration#ml engineering capabilities#ai ml engineering#class ml engineering#ml engineering
Also in: machine learning kubernetes security

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

skilz install rickydwilson-dcs_claude-skills/senior-ml-engineer
skilz install rickydwilson-dcs_claude-skills/senior-ml-engineer --agent opencode
skilz install rickydwilson-dcs_claude-skills/senior-ml-engineer --agent codex
skilz install rickydwilson-dcs_claude-skills/senior-ml-engineer --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Download Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/rickydwilson-dcs/claude-skills
2. Copy the skill directory:
cp -r claude-skills/skills/engineering-team/senior-ml-engineer ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Details

Repository
claude-skills
Stars
3
Forks
0
Type
Technical
Meta-Domain
media
Primary Domain
monitoring
Sub-Domain
observability description
Skill Size
30.4 KB
Files
9
Quality Score
45.8

AI-Detected Topics

Extracted using NLP analysis

ml engineer integration ml engineering capabilities ai ml engineering class ml engineering ml engineering

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