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.

ユーザーが ML モデルのデプロイメント、実稼働サービス提供インフラストラクチャ、最適化戦略、およびリアルタイム推論システムを必要とする場合に使用します。信頼性とパフォーマンスに重点を置いて、スケーラブルな ML システムを設計および実装します。 ソース: 404kidwiz/claude-supercode-skills。

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