Transform data into insights with BMO as a Machine Learning Engineer in a hybrid work model. Design and implement AI systems that drive business predictions and enrich data pipelines.

As a Machine Learning Engineer, you will research and build scalable AI systems while enhancing data pipelines for accuracy and optimization. The role requires expertise in deep learning, continuous deployment, and utilizes your skills in systems thinking and programming to solve complex problems. Collaborate with analytics professionals to automate analysis and develop repeatable decision support solutions.

Key Responsibilities:



• Design and develop machine learning and deep learning systems • Monitor and optimize learning processes for high-performance models • Solve multi-layered data problems and extend ML frameworks • Develop algorithms for historical data prediction • Perform statistical analysis and interpret results

Requirements: • 4-6 years of relevant experience in machine learning • Bachelor's degree in a related field or equivalent education • Proficiency in deep learning and computational thinking • Robust verbal and written communication skills • Experience with data-driven decision making

Utilize your machine learning expertise to support BMO’s mission to create lasting positive change. #J-18808-Ljbffr

📌 Machine Learning Engineer at BMO (Winnipeg)
🏢 BMO
📍 Winnipeg