Base: not specified; bonus/equity: bonuses + stock...
Hybrid
Machine learning infrastructure design
Mlops orchestration tools experience
Devops pipeline maintenance
At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning and offers computational resources to support advanced ML development
Job Summary
At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning and offers computational resources to support advanced ML development.
The role involves designing, building, and optimizing machine learning deployment tools and automation systems to operate the business’s data and ML applications.
RBC offers a comprehensive Total Rewards Program including bonuses, flexible benefits, competitive compensation, and stock options, along with leadership support for professional development.
Matching Summary
At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning and offers computational resources to support advanced ML development.
Salary
Base: Not specified; Bonus/Equity: Bonuses and stock options where applicable; Benefits: Flexible benefits and comprehensive Total Rewards Program
Skills & Requirements
Must-have
Machine Learning infrastructure design
MLOps orchestration tools experience
DevOps pipeline maintenance
Cloud and on-premise hybrid systems
Python programming proficiency
UNIX operating system knowledge
Nice-to-have
Collaboration with ML researchers
Automation of infrastructure tasks
Experience with ML frameworks
Strong software engineering practices
Working in a diverse and inclusive team culture
Key Requirements
5+ years experience in distributed and ML systems
Experience with Jenkins and GitHub Actions
Proficiency in Python, Bash, or JavaScript
Hands-on hybrid cloud environment deployment
Knowledge of software development life cycle best practices