Senior Ml Engineer
alirezarezvani/claude-skillsMachine learning models are powerful, but they only work if they reach real users. This skill helps you take a trained model and put it into a production environment. You will learn to build model deployment pipelines and set up reliable monitoring to catch problems early.
MLOps is the practice of managing machine learning systems in production. This skill covers feature stores, experiment tracking, and automated retraining. You will learn to use tools like MLflow and Kubeflow to keep your models running smoothly.
Large language models are now common in applications. This skill shows how to integrate LLM APIs, build RAG systems, and control costs. It focuses on production concerns, not research. It is for engineers who need to make AI work reliably at scale.
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