Build production AI systems with Python and PyTorch as a Senior Machine Learning Engineer in Workday’s Vancouver office, using Flex Work.
Workday’s AI Team develops machine learning, Generative AI, and autonomous agents for enterprise applications. You will own the ML lifecycle, collaborate with data scientists and product partners, and advance Responsible AI practices. This senior role requires seven or more years of industry experience.
Key Responsibilities
Design scalable machine learning models and AI systemsExtract data, engineer features, train models,
and deploy solutionsMonitor and optimize production machine learning systemsEstablish MLOps practices and optimized engineering codeMentor engineers and conduct architecture and code reviewsRequirements:
Seven or more years in software engineering and applied machine learningExpert Python proficiency and robust software engineering fundamentalsHands-on PyTorch, TensorFlow, Scikit-learn, or Hugging Face experienceProduction deployment experience with scalable, high-traffic systemsAWS or GCP, Docker, Kubernetes, and quantitative degree or equivalentBring Python, production deployment, and machine learning expertise to Workday’s scalable enterprise AI systems in Vancouver.
📌 Senior Machine Learning Engineer Vancouver (Canada)
🏢 Workday, Inc. (old)
📍 Canada
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