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.

Use when user needs ML model deployment, production serving infrastructure, optimization strategies, and real-time inference systems. Designs and implements scalable ML systems with focus on reliability and performance. Source: 404kidwiz/claude-supercode-skills.

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