Build production machine learning systems with AWS SageMaker, Python, and SQL in a adaptable 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 AWSManage SageMaker workflows and inference endpointsAutomate Python and SQL data pipelinesOptimize CI/CD, containers, and cloud infrastructureMonitor production metrics and initiate retrainingRequirements:
Seven years of technical experience targeted;
four to five-plus consideredBachelor's degree or equivalent practical experienceStrong Python and SQL proficiencyHands-on AWS SageMaker deployment experienceGit, CI/CD, Docker, ECS, or EKS experienceApply AWS, SageMaker, Python, and SQL expertise to own reliable machine learning delivery from pipelines through production.