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, effective, 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
🏢 TD Bank Group
📍 Toronto