Senior Azure Machine Learning Engineer
Indotronix UK
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 platformsMove experimental models into reliable production environmentsImplement MLOps, CI/CD, containers, APIs, and automationMonitor deployed models and support observability practicesApply machine-learning engineering skills using Python and SQLRequirements:
10 to 15 years of stated professional experienceAdvanced hands-on Azure Machine Learning experienceMicrosoft Foundry or Azure AI Foundry experienceStrong Python and machine-learning engineering skillsExperience with Databricks, Git, Jira, and Power BIApply advanced Azure, Python, MLOps, and model deployment expertise to production machine-learning engineering in hybrid Toronto.
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Develop and deploy machine-learning models through Azure platformsMove experimental models into reliable production environmentsImplement MLOps, CI/CD, containers, APIs, and automationMonitor deployed models and support observability practicesApply machine-learning engineering skills using Python and SQLRequirements:
10 to 15 years of stated professional experienceAdvanced hands-on Azure Machine Learning experienceMicrosoft Foundry or Azure AI Foundry experienceStrong Python and machine-learning engineering skillsExperience with Databricks, Git, Jira, and Power BIApply advanced Azure, Python, MLOps, and model deployment expertise to production machine-learning engineering in hybrid Toronto.
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Vacancy posted more than 2 months ago
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