AWS Sagemaker / MLOPS Engineer
Summary
A senior machine learning engineer (8+ years IT experience) will design, build, and operationalize enterprise-scale ML pipelines on AWS — primarily using SageMaker, SageMaker Feature Store, Python, and MLOps practices with CI/CD automation. Hybrid role based in the Toronto office (2 days/week in person preferred).
AWS Sagemaker / MLOPS Engineer
Hybrid: 2 days per week in-person at Toronto office preferred
Role Description:
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing Machine Learning solutions on AWS.
The ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be responsible for designing and implementing end-to-end ML pipelines, feature management strategies, model deployment automation, monitoring, and CI/CD integration for enterprise-scale machine learning platforms.
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Experience Required:
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