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, efficient, 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
Robust communication, business acumen, and stakeholder management
Apply machine learning engineering, MLOps, and coding expertise to scalable AI systems at TD in Toronto.

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