Senior Ml Engineer

This is a senior-level ML engineering skill for tackling production machine learning systems. You'd reach for this when you need someone who can architect end-to-end pipelines, optimize model training at scale, and debug gnarly production ML issues. The skill set assumes you're working with modern frameworks, distributed systems, and real-world data challenges, not just notebook prototypes. Honestly, the value here is in the senior judgment calls around model selection, infrastructure trade-offs, and knowing when to push back on impractical requirements. Good fit for teams scaling ML from proof-of-concept to production or debugging performance bottlenecks in existing systems.