Machine Learning Platform Engineer II

RBC Borealis, the AI innovation arm of Royal Bank of Canada, is seeking a Machine Learning Platform Engineer II to join their team in Montreal. This role presents an exciting opportunity to work at the intersection of ML infrastructure and enterprise solutions. The position involves designing and implementing MLOps and DevOps tools, working alongside leading ML researchers with access to extensive datasets and computational resources.

The role focuses on building and optimizing machine learning deployment infrastructure, establishing best practices for ML pipelines, and creating scalable solutions for ML systems. You'll be working with cutting-edge technologies in areas such as Generative AI, unsupervised learning, and reinforcement learning.

As part of RBC Borealis, you'll be joining a team that's driving innovation in the financial sector through AI research and platform development. The company offers comprehensive benefits, including competitive compensation, bonuses, and stock options. With locations across major Canadian cities, RBC Borealis is at the forefront of integrating AI research and data engineering to solve critical challenges in the financial industry.

The ideal candidate should have a strong foundation in computer science or software engineering, expertise in languages like Python or Java, and hands-on experience with MLOps tools and large-scale data processing. This role offers the opportunity to make a significant impact on the future of AI applications in finance while working with a collaborative team of experts in the field.