Machine Learning Engineer Toronto

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 systemsIntegrate models with existing data platforms and infrastructureAutomate operations while improving efficiency and reliabilityWrite clean, efficient, maintainable model deployment codeWork with transactions, conversations, and document datasetsRequirements:
Degree in computer science, statistics, mathematics, engineering, or related fieldMinimum three years delivering major data science projectsStrong machine learning, data engineering, and MLOps skillsProficiency in Python, R, SQL, and/or ScalaStrong communication, business acumen, and stakeholder managementApply machine learning engineering, MLOps, and coding expertise to scalable AI systems at TD in Toronto.
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