Elevate your career at RBC Borealis as a Machine Learning Platform Engineer. Contribute your expertise in ML infrastructure, automation tools, and team-oriented 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 innovative 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 systems

Requirements:
• 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 practices

Join RBC Borealis to shape the future of finance through machine learning and innovation.
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📌 Machine Learning Platform Engineer at RBC (Alberta)
🏢 RBC
📍 Alberta