Individual skill
senior-ml-engineer
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.
bundled/skills/senior-ml-engineer/SKILL.md
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- Last checked
- Nov 11, 2026
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- 3,817
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- ai-workflow Repository topic
- automation Repository topic
- codex Repository topic
- developer-tools Repository topic
- skills Repository topic
- ai-skills Repository topic
- claude-code Repository topic
- llm Repository topic
- vibe-coding Repository topic
- devops Derived category
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SKILL.mdcore · 5,506 bytesSKILL.mdcore · 5,506 bytesSKILL.mdcore · 5,506 bytesSKILL.mdcore · 5,506 bytesSKILL.mdcore · 5,506 bytesSKILL.mdcore · 5,506 bytesreferences/llm_integration_guide.mddoc · 1,421 bytesreferences/mlops_production_patterns.mddoc · 1,429 bytesreferences/rag_system_architecture.mddoc · 1,425 bytesscripts/ml_monitoring_suite.pyruns · 2,782 bytesscripts/model_deployment_pipeline.pyruns · 2,812 bytesscripts/rag_system_builder.pyruns · 2,777 bytes
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# Senior ML/AI Engineer
World-class senior ml/ai engineer skill for production-grade AI/ML/Data systems.
## Quick Start
### Main Capabilities
```bash
# Core Tool 1
python scripts/model_deployment_pipeline.py --input data/ --output results/
# Core Tool 2
python scripts/rag_system_builder.py --target project/ --analyze