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 gatesRequirements: • Extensive experience with SageMaker and MLflow • Advanced Python programming skills for backend systems • Deep understanding of Kafka for online ML processes • Solid knowledge of OpenShift/Kubernetes deployment • Demonstrated experience with CI/CD tools like GitHub ActionsAdvance your career in AI at RBC, focusing on operational excellence and impactful machine learning solutions. #J-18808-Ljbffr
Staff Ml Engineer - Rbc Borealis Innovation
RBC
calgary, calgary
Published 27 days ago
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