Senior ML/AI Engineer

--- name: senior-ml-engineer description: 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. --- # 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 # Core Tool 3 python scripts/ml_monitoring_suite.py --config config.yaml --deploy ``` ## Core Expertise This skill covers world-class capabilities in: - Advanced production patterns and architectures - Scalable system desig