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Machine Learning Software Engineer II
RBC
Vancouver, CAN
Full-time
Onsite
Discovered 1 weeks ago
Machine learningPythonML software systemsData preprocessing and explorationMachine learning pipelinesDistributed computing
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Machine learningPythonML software systems
Role Overview
RBC Borealis develops artificial intelligence research and solutions for RBC and its customers.
The role works at the intersection of machine learning and financial services.
The engineer owns projects end to end, from data preparation through production deployment and monitoring.
Key Skills for This Role
Machine learningPythonML software systemsData preprocessing and explorationMachine learning pipelinesDistributed computing
Full Job Posting
Opportunity overview
RBC Borealis develops artificial intelligence research and solutions for RBC and its customers.
The role works at the intersection of machine learning and financial services.
The engineer owns projects end to end, from data preparation through production deployment and monitoring.
Responsibilities
- Build machine learning solutions across the research and product development lifecycle.
- Plan work and lead software engineers delivering machine learning products and solutions.
- Contribute to the design and development of machine learning products.
- Partner with research and product teams for seamless product delivery.
- Apply engineering and data best practices to robust, scalable, large-scale ML software systems.
- Provide documentation, design decisions, and technical advisory support.
Ideal candidate
- Experience building modular, robust, scalable ML or data software systems in Python or a similar language.
- Experience leading a software engineering team through full project delivery.
- Experience across the research and product lifecycle from prototyping to production.
- Exposure to distributed computing frameworks and containerization such as Docker or Kubernetes.
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