Machine Learning Engineer

Overview In this role you will design and deploy scalable ML and deep learning solutions to support business decisions at BMO. You’ll enhance data pipelines, monitor model performance, and build tools to translate unstructured data into actionable insights. You will collaborate with data professionals to scale analytics into repeatable decision-support solutions and maintain responsible, risk-aware AI practices. This position offers hands-on work with cutting-edge ML frameworks in a large, enterprise context, shaping how data informs strategic outcomes. Compensation / Benefitshealth insurancetuition reimbursementaccident and life insuranceretirement savings plans Responsibilities Design and develop ML and deep learning systems Train and retrain models to prevent drift and improve results Run experiments, evaluate performance, and optimize learning processes Extend ML frameworks and optimize libraries for large-scale data Build ML apps and tools to apply ML in business workflows Auto-tag unstructured data (images, text-to-speech) and analyze historical data for predictions Collaborate with data/analytics teams to scale analytics into repeatable solutions Provide specialized analytical and technical support to business groups Adhere to Risk Management Framework and ensure compliant decision-making Key requirements Foundational: Systems Thinking Intermediate: Mathematics, Statistics & Operations Research; Critical thinking; Creative reasoning; Verbal & written communication; Collaboration & team skills; Data-driven decision making Advanced: Computational Thinking and Programming; Deep Learning; Machine Learning; Scaling Models; Continuous Integration and Deployment; ML algorithms Typically 5-7 years of relevant experience and a post-secondary degree or equivalent experience Excellent problem-solving and analytical abilitiescollaborationverbal and written communicationanalytical thinking Computational Thinking Deep Learning Machine Learning