Join RBC Borealis as a Lead DevOps Engineer to enhance machine learning capabilities. Focus on building and scaling ML applications while working collaboratively with a dedicated team.
This role requires a strong background in DevOps practices, particularly in creating automation tools and optimizing data pipelines. Based in Toronto, you will engage with exceptional researchers and leverage vast datasets to push the boundaries of machine learning. Your design decisions will impact how efficiently ML systems operate across the enterprise.
Key Responsibilities:
• Build and automate ML deployment infrastructure
• Standardize practices for data and ML pipelines
• Collaborate on code analysis and integration processes
• Ensure monitoring solutions address system bottlenecks
• Deploy hybrid cloud and on-premise ML environments
Requirements:
• 5+ years in DevOps with tools like GitHub Actions
• Knowledge of orchestration tools for ML applications
• Programming...