<!-- Adapted from: claude-skills/engineering-team/senior-ml-engineer -- ML Engineering Guide Production-grade ML/AI systems, MLOps, and model deployment. When to Use - Deploying ML models to production - Building ML platforms and infrastructure - Implementing MLOps pipelines - Integrating LLMs into production systems - Setting up model monitoring and drift detection Tech Stack | Category | Tools | |----------|-------| | ML Frameworks | PyTorch, TensorFlow, Scikit-learn, XGBoost | | LLM Frameworks | LangChain, LlamaIndex, DSPy | | Data Tools | Spark, Airflow, dbt, Kafka, Databricks | | Deploym…