Become a pivotal Staff ML Engineer at RBC Borealis, steering the development of machine learning systems from idea to production. You'll focus on building scalable infrastructure that supports AI-driven financial solutions.

This position specifically entails developing backend services in Python, managing real-time data pipelines, and deploying ML models efficiently. Engage with a highly talented team and utilize platforms like SageMaker to deliver performance excellence in AI workloads.

Key Responsibilities: • Build scalable infrastructure for ML model-serving • Architect real-time feature pipelines with streaming tech • Create reliable backend services in Python for AI • Deploy ML models in containers on OpenShift/Kubernetes • Develop CI/CD pipelines integrating testing and quality gates

Requirements: • Extensive experience with SageMaker and MLflow • Advanced Python programming skills for backend systems • Deep understanding of Kafka for online ML processe...