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Develop, train, evaluate, and optimize deep learning models for personalization and recommendation systems Work across the full model development lifecycle including data analysis, feature engineering, experimentation, training, validation, and evaluation Design and implement PyTorch-based deep learning models for practical business use cases Analyze model performance and iterate based on measurable metrics Build reusable model training, in...
About the Role
Our client is Canada’s largest retailer. They are looking for a Senior Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across their retail ecosystem.
This role focused on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians daily.
Duration: 6 Months, to start
Location: Remote
Responsibilities:
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