ML Engineer - Borealis Innovation

Position: Staff ML Engineer - RBC Borealis Innovation
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 Sage Maker 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 Open Shift/Kubernetes

• Develop CI/CD pipelines integrating testing and quality gates
Requirements:

• Extensive experience with Sage Maker and MLflow

• Advanced Python programming skills for backend systems

• Deep understanding of Kafka for online ML processes

• Solid knowledge of Open Shift/Kubernetes deployment

• Demonstrated experience with CI/CD tools like Git Hub Actions
Advance your career in AI at RBC, focusing on operational excellence and impactful machine learning solutions.
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