Elevate your career at RBC Borealis as a Machine Learning Platform Engineer. Contribute your expertise in ML infrastructure, automation tools, and collaborative solutions in a supportive environment.In this full-time position, you will play a pivotal role in designing and implementing machine learning systems within a passionate team. Your focus will include developing MLOps tools and optimizing deployment processes while collaborating with engineers and researchers on cutting-edge projects.

This role will leverage your extensive experience in cloud and on-premise environments as you support critical infrastructure decisions.Key Responsibilities:

- Design and optimize machine learning deployment tools
- Implement standards for data and ML pipelines




- Collaborate on automating code analysis and deployments
- Support applications with infrastructure design choices
- Build scalable cloud and on-premise ML systemsRequirements:
- 5+ years in distributed systems and Machine Learning
- Experience with DevOps pipelines like Jenkins and GitHub
- Familiarity with MLOps tools such as AirFlow and KubeFlow
- Strong coding skills in Python and Bash
- Knowledge of monitoring solutions and best practicesJoin RBC Borealis to shape the future of finance through machine learning and innovation.

📌 Machine Learning Platform Engineer At Rbc (Calgary)
🏢 RBC
📍 Calgary