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 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.
📌 Machine Learning Platform Engineer at RBC (Calgary)
🏢 RBC
📍 Calgary