Opportunity Description
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 back...
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