Senior ML Platform Developer

Job Description What is the opportunity?

Our team is looking for an experienced ML Platform Engineer with expertise in full stack development to contribute to our platform services.

RBC Borealis ML platform engineering team is responsible for enabling on‑premises infrastructure for our internal data engineering and data science teams  work with hundreds of developers and data scientists across RBC to leverage our on‑premises resources to accelerate their work across the full end‑to‑end data and machine‑learning lifecycle. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

At RBC Borealis, you’ll be joining a team that works on building and enhancing on‑premises solutions to support data engineering and data science teams across the organization. The role involves designing, developing, and maintaining platform services, APIs, and tools to enable seamless machine learning workflows and lifecycle management.

The Enterprise Architecture team is undertaking multiple complex enterprise‑wide initiatives as part of RBC’s ongoing plan to improve technology management and architectural governance across the organization. In this role you will be responsible for strategically planning and managing successful implementation of the above mentioned. The role will coordinate, develop, lead, communicate and execute activities to ensure objectives are accomplished based on time.

• Perform complex application programming activities, including coding, testing, debugging, documenting, maintaining, and modifying complex applications programs.
• Create and review technical design documents, understand how the design will be used in the code development process, and facilitate meetings to design, troubleshoot, and execute projects.
• Develop APIs and microservices to support Enterprise Machine Learning Platform client initiatives.
• Present technical topics at regular sprint meetings.
• Design, build, and optimize machine learning deployment tools and automation systems that operate the business’s data and ML applications.
• Support applications and projects with infrastructure design decisions, and monitoring solutions.

• Bachelor’s degree in computer science, software engineering, or equivalent.
• 3+ years’ experience as a software developer/software engineer and proficiency in at least one major programming language, as well as strong knowledge of object‑oriented design and data structures.
• Strong working knowledge of SQL and No
  
  SQL data stores.
• Experience in building APIs and RESTful services.
• Experience mentoring junior engineers, leading code review and design sessions.
• Passion for simplifying and automating work, making things better, continuous learning, solving open‑ended problems, improving efficiency and helping others.
• Strong communication skills with ability to work cross‑functionally to articulate, measure and solve issues.
• Great attention to detail, organizational skills and an analytical mind.
• Strong platform engineering experience and experience implementing scalable distributed systems.
• Experience implementing monitoring solutions to identify system bottlenecks and production issues.

• Working with building and maintaining Dev Ops pipeline, such as Git Hub actions.
• Previous experience with MLOps orchestration tools such as Air Flow, Kube Flow, Dagster.
• Data engineering knowledge is helpful but not required for the role.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high‑performing team.
• A world‑class training program in financial services.
• Flexible work/life balance options.
• Opportunities to do challenging work.

Analytical Thinking, Apache Airflow, Application Development, Application Integrations, Application Maintenance, Applications…