Build scalable machine learning systems in Toronto with Python, MLOps, and cloud architecture at TD’s Layer 6 AI research centre. As a Machine Learning Engineer II, you will develop frameworks for real-world artificial intelligence applications. You will work with machine learning, data engineering, software development practices, and large-scale financial datasets. Your work will support systems used by TD Bank Group. Key Responsibilities:

Architect scalable machine learning and generative AI systems Integrate models with existing data platforms and infrastructure Automate operations while improving efficiency and reliability Write clean, productive, maintainable model deployment code Work with transactions, conversations, and document datasets Requirements:

Degree in computer science, statistics, mathematics, engineering, or related field Minimum three years delivering major data science projects Strong machine learning, data engineering, and MLOps skills Proficiency in Python, R, SQL, and/or Scala Strong communication, business acumen, and stakeholder management Apply machine learning engineering, MLOps, and coding expertise to scalable AI systems at TD in Toronto.

📌 Machine Learning Engineer Toronto (Winnipeg)
🏢 TD Bank Group
📍 Winnipeg