Edge ML Ops Engineer – Production Pipelines & Monitoring

A technology company specializing in AI solutions is seeking an MLOps Engineer to operationalize machine learning systems. This hybrid role, based in Calgary, involves building automated pipelines, implementing CI / CD workflows, and ensuring model reliability in production. Candidates should have over 3 years of MLOps experience, a solid background in Python, and hands-on familiarity with containerization tools like Docker and Kubernetes. Knowledge of AWS services is also essential for deployment and monitoring. This position offers a unique opportunity to work at the intersection of AI and real-world agricultural applications.

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