Join RBC Borealis as a Principal MLOps Engineer, specializing in Azure infrastructure and automation for machine learning deployment. This opportunity combines innovation and expertise in driving ML solutions.
You’ll work within a team that collaborates with leading researchers to refine machine learning applications. Your role will focus on optimizing deployment processes and cloud infrastructure, aiming to implement robust data and ML pipeline practices. Contribute to impactful projects that shape the future of finance.
Key Responsibilities:
• Build and optimize tools for ML deployment and automation
• Implement and design cloud infrastructure in Azure
• Establish standards for machine learning data processes
• Collaborate to streamline ML application integrations
• Develop scalable cloud and on-premise ML hosting systems
Requirements:
• Proven experience in distributed and machine learning systems
• Knowledge of hybrid infrastructure, primarily on Azure...