Azure Machine Learning and MLOps expertise define this hybrid Toronto engineering role. Build reliable production models with Python and Azure AI Foundry.
Cloud Resourcing seeks a Machine Learning Engineer with 10 to 15 years of experience. The role requires hands-on Azure Machine Learning, Microsoft Foundry, MLOps, CI/CD, containers, APIs, automation, deployment, monitoring, and observability. You will move models from experimentation into production environments.
Key Responsibilities: Develop and deploy machine-learning models through Azure platforms
Move experimental models into reliable production environments
Implement MLOps, CI/CD, containers, APIs, and automation
Monitor deployed models and support observability practices
Apply machine-learning engineering skills using Python and SQL
Requirements: 10 to 15 years of stated professional experience
Advanced hands-on Azure Machine Learning experience
Microsoft Foundry or Azure AI Foundry experience
Solid Python and machine-learning engineering skills
Experience with Databricks, Git, Jira, and Power BI
Apply advanced Azure, Python, MLOps, and model deployment expertise to production machine-learning engineering in hybrid Toronto.

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📌 Senior Azure Machine Learning Engineer (Ontario)
🏢 Indotronix UK
📍 Ontario