AI and Machine Learning Engineer at BMO
BMO • toronto, on • Posted June 01, 2026
Position Overview
Take on a pivotal role as a Machine Learning Engineer at BMO Financial Group. This hybrid position focuses on AI applications in addressing financial complexities.
To succeed, you should have a Master’s or Ph.D. in a technical field and a solid background in machine learning and AI model development. The position requires competence in Python, SQL, and familiar ML frameworks like TensorFlow and PyTorch. Your role will involve extensive collaboration to explain sophisticated data-driven insights to both technical and non-technical team members, ensuring the successful deployment of AI solutions.
Key Responsibilities:
• Design and develop machine learning algorithms
• Optimize AI models and run performance tests
• Analyze historical data for predictive insights
• Build and implement advanced analytics tools
• Ensure accurate communication of complex concepts
Requirements:
• Advanced degree in Mathematics, Computer Science, or related
• Experience in model de...
To succeed, you should have a Master’s or Ph.D. in a technical field and a solid background in machine learning and AI model development. The position requires competence in Python, SQL, and familiar ML frameworks like TensorFlow and PyTorch. Your role will involve extensive collaboration to explain sophisticated data-driven insights to both technical and non-technical team members, ensuring the successful deployment of AI solutions.
Key Responsibilities:
• Design and develop machine learning algorithms
• Optimize AI models and run performance tests
• Analyze historical data for predictive insights
• Build and implement advanced analytics tools
• Ensure accurate communication of complex concepts
Requirements:
• Advanced degree in Mathematics, Computer Science, or related
• Experience in model de...