Senior ML Engineer

Production ML engineering patterns for model deployment, MLOps infrastructure, and LLM integration.

Purpose

Deploy ML models to production, build MLOps pipelines, integrate LLM APIs, implement RAG systems, and monitor model drift using industry-standard tools and patterns.

Trigger

Apply when the user requests:

• "deploy ML model to production", "productionize model", "MLOps pipeline"
• "model monitoring", "drift detection", "model registry", "MLflow", "Kubeflow"
• "LLM integration", "RAG pipeline", "vector database", "embedding model"
• "build RAG system", "LLM cost optimization", "retry logic LLM", "LLM fallback"
• "A/B test models", "canary deployment ML", "feature store", "Feast"