Elevate your career at RBC Borealis as a Machine Learning Platform Engineer. Contribute your expertise in ML infrastructure, automation tools, and cooperative solutions in a supportive setting. 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. #J-18808-Ljbffr

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