Senior Staff MLOps Engineer

📋 Description

• • Senior Staff MLOps Engineer role focused on building and scaling the ML platform for tem's core transaction infrastructure, Rosso, which powers electricity pricing and forecasting for thousands of business customers.
• • Day-to-day responsibilities include owning ML platform strategy, building experiment tracking and model registry, delivering backtesting and shadow deployment infrastructure, setting technical standards, partnering with ML and software engineers, evaluating MLOps tooling, driving deployment reliability, and defining best practices for model lifecycle management.
• • tem is rebuilding the global energy market with AI-native transaction infrastructure to create transparency, fairness, and efficiency in electricity trading, backed by a $75M Series B and serving thousands of business customers with billions in transaction value.
• • The role offers the opportunity to define platform direction at a Staff+ level, eliminate MLOps bottlenecks, reduce model deployment time from days to minutes, and enable ML engineers to focus on model quality by delivering critical platform capabilities before they block progress.