Senior Ml Engineer vs Performance Benchmark for Performance

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infras…

Profile and benchmark code performance, identify bottlenecks, and suggest optimizations with before/after measurements