Apply advanced Azure Machine Learning and Python skills as a Senior Machine Learning Engineer in a hybrid Toronto assignment. Build reliable AI deployments.
Procom is seeking a Senior Machine Learning Engineer for a six-month Public Sector client contract. The hybrid arrangement requires three onsite days weekly at the client’s Toronto office. You will support MLOps practices, AI solution deployment, and current development initiatives that enhance machine learning capabilities.

Key Responsibilities

Implement and optimize MLOps practices for model deploymentDevelop and maintain machine learning CI/CD pipelinesIntegrate AI solutions with cross-functional teamsMonitor and troubleshoot production models for reliabilityAutomate retraining and performance optimization workflowsRequirements:
Advanced hands-on Azure Machine Learning experienceMicrosoft Foundry or Azure AI Foundry experienceStrong Python and machine-learning engineering skillsProficiency in MLOps, CI/CD, containers, APIs, and automationUnderstanding of machine-learning algorithms and statisticsBring Azure, Python, deployment, monitoring, and automation expertise to this six-month Senior Machine Learning Engineer contract in Toronto.
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📌 Senior Mlops Machine Learning Engineer (Winnipeg)
🏢 Procom
📍 Winnipeg