Lead Machine Learning Engineer, GFT

RBC, one of the largest and most profitable financial institutions globally, is seeking a Lead Machine Learning Engineer for their GFT team. This role represents an exciting opportunity to work at the intersection of finance and cutting-edge AI technology. The position involves managing and delivering machine learning projects while working with state-of-the-art tools and technologies including AWS, SageMaker, and various big data technologies.

The ideal candidate will lead the development of scalable data processing solutions and machine learning systems, working with both structured and unstructured data. They will be responsible for creating robust ETL/ELT workflows and ensuring the high availability and performance of data platforms. The role requires expertise in modern ML technologies, including LLMs and generative AI, as well as strong programming skills in Python and experience with distributed systems.

RBC offers a collaborative and inclusive work environment that values diversity and promotes professional growth. With operations across 34 countries and serving over 16 million clients, this role provides an opportunity to work on impactful projects at scale. The position is based in either Vancouver or Toronto, offering the chance to work with one of Canada's most respected financial institutions while pushing the boundaries of AI and machine learning applications in the financial sector.