RBC Borealis is seeking an enthusiastic Software Engineer to work on challenging problems at the intersection of machine learning and financial services. This role involves end-to-end project ownership, including data preprocessing, building and scaling ML algorithms and pipelines, and deploying and monitoring production systems. The engineer will collaborate with leading researchers and product teams, utilizing rich datasets and computational resources for cutting-edge ML R&D.
Build cutting-edge ML solutions throughout the research and product development lifecycle.,Play a key role in the design and development of Borealis' machine learning products.,Partner with RBC Borealis's research and product teams for seamless product delivery.,Apply engineering and data best practices to build robust and scalable large-scale machine learning software systems.,Support projects with thorough documentation, design decisions, and technical advisory.
Experience building modular and robust software systems in Python or similar language.,Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.,Experience working across the entire ML research and product lifecycle from prototyping to production is a plus.,Experience building microservices, data pipelines and using relational and non-relational databases is a plus.,Experience working with data science tooling and deep learning frameworks is a plus.,Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.
37.5 hours/week
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. As Canada's largest bank, it provides personal and commercial banking, wealth management, and capital markets services to over 17 million clients worldwide.
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