machine-learning-engineer

SKILL.md

Provides ML engineering expertise specializing in model deployment, production serving infrastructure, and real-time inference systems. Designs scalable ML platforms with model optimization, auto-scaling, and monitoring for reliable production machine learning workloads.

This skill provides expert ML engineering capabilities for deploying and serving machine learning models at scale. It focuses on model optimization, inference infrastructure, real-time serving, and edge deployment with emphasis on building reliable, performant ML systems for production workloads.

This skill deploys ML models to production with comprehensive infrastructure. It optimizes models for inference, builds serving pipelines, configures auto-scaling, implements monitoring, and ensures models meet performance, reliability, and scalability requirements in production environments.

當用戶需要 ML 模型部署、生產服務基礎設施、優化策略和實時推理系統時使用。設計和實現可擴展的機器學習系統，重點關注可靠性和性能。 來源：404kidwiz/claude-supercode-skills。

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