Location
toronto
Job Type
Full-time
Posted
June 27, 2026
Job Description
Elevate cloud solutions as an Azure Engineer focusing on MLOps at a leading communications firm. Design and maintain platforms powered by Microsoft Azure, catering to AI-driven workloads.
In this senior role, your experience with cloud-native architectures will be crucial in building scalable infrastructure for production-grade machine learning. You'll collaborate with data teams to operationalize AI capabilities while managing the lifecycle of machine learning models. Your influence will drive automation and standards across the platform.
Key Responsibilities:
• Engineer scalable infrastructure leveraging Azure services
• Manage CI/CD processes and container orchestration
• Facilitate lifecycle management of machine learning models
• Work with cross-functional teams to operationalize ML solutions
• Develop observability strategies to ensure system reliability
Requirements:
• Strong practical experience with Microsoft Azure
• Proven expertise in MLOps and ...
In this senior role, your experience with cloud-native architectures will be crucial in building scalable infrastructure for production-grade machine learning. You'll collaborate with data teams to operationalize AI capabilities while managing the lifecycle of machine learning models. Your influence will drive automation and standards across the platform.
Key Responsibilities:
• Engineer scalable infrastructure leveraging Azure services
• Manage CI/CD processes and container orchestration
• Facilitate lifecycle management of machine learning models
• Work with cross-functional teams to operationalize ML solutions
• Develop observability strategies to ensure system reliability
Requirements:
• Strong practical experience with Microsoft Azure
• Proven expertise in MLOps and ...
Ready to Apply?
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