Build production machine learning systems with AWS SageMaker, Python, and SQL in a flexible hybrid engineering role. Work two days weekly in Toronto.
As a Senior MLOps and Cloud Engineer, you will deploy models, operate pipelines, and manage AWS infrastructure. You will configure batch and real-time inference, automate data transformations, and collaborate directly with business teams. Jira supports project execution and delivery ownership.
Key Responsibilities: Deploy and operationalize machine learning models on AWS
Manage SageMaker workflows and inference endpoints
Automate Python and SQL data pipelines
Optimize CI/CD, containers, and cloud infrastructure
Monitor production metrics and initiate retraining
Requirements: Seven years of technical experience targeted; four to five-plus considered
Bachelor's degree or equivalent practical experience
Solid Python and SQL proficiency
Hands-on AWS SageMaker deployment experience
Git, CI/CD, Docker, ECS, or EKS experience
Apply AWS, SageMaker, Python, and SQL expertise to own reliable machine learning delivery from pipelines through production.

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📌 Senior AWS MLOps Engineer (Ontario)
🏢 Randstad Digital
📍 Ontario