MLOps Architect

Role : MLOPS Engineer Lead / Architect Location : Charlotte NC (Onsite) Role Overview We are seeking a highly skilled Cortex Real-Time Inference Engineering Lead to design, build, and industrialize our next-generation, low-latency model serving platform. In this role, you will bridge the gap between data science and production engineering. You will be responsible for creating resilient, autoscaling deployment patterns and robust operational frameworks that support real-time predictive use cases at scale. The ideal candidate has deep expertise in online inference architectures, container orchestration, and performance optimization, ensuring our predictive models deliver high availability and sub-second latency. Key Responsibilities Inference Platform Engineering: Design, build, and industrialize low-latency, highly available model-serving services and architecture for real-time predictive workflows. Deployment Patterns: Establish standardized deployment patterns (e.g., canary, blue/green, shadow deployments) to safely deploy and update machine learning models in production without downtime. Capacity