Build reliable AI production systems with Azure Machine Learning, MLOps, and Python in a hybrid schedule requiring three onsite days weekly. This senior engineering role connects experimentation with scalable deployment.The Senior Machine Learning Engineer deploys, integrates, monitors, and operationalizes AI and machine-learning solutions. You will create reusable deployment patterns, tooling, monitoring, and automation for enterprise scale. The work includes model development, data analysis, experiments, and production troubleshooting.Key Responsibilities:Deploy, integrate, monitor, and operationalize machine-learning solutionsCreate reusable deployment patterns, tooling, monitoring,



and automationDevelop models and use data for trainingDefine metrics supporting business objectives and model progressRun machine-learning tests and experimentsRequirements:Advanced Azure Machine Learning and Microsoft Foundry experienceHands-on MLOps, CI/CD, containers, APIs, and automation experienceStrong Python, machine-learning engineering, and statistics skillsExperience with model deployment, monitoring, observability, and troubleshootingExperience using Azure, Databricks, SQL, Git, and Power BIApply senior machine-learning engineering expertise across Azure MLOps, Python, deployment, monitoring, and production model operations.#J-18808-Ljbffr

📌 Mlops Engineer — Hybrid Ml Training & Serving At Scale (Winnipeg)
🏢 Electronic Arts
📍 Winnipeg