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Senior ML Ops Engineer
2 months ago
Job Role:
We are looking for a seasoned ML Ops Engineer to join our team.
Roles & Responsibilities:
• Design, implement, and maintain MLOps solutions on the Azure platform.
• Develop and manage CI/CD pipelines for machine learning models using Azure DevOps or other relevant tools.
• Implement model deployment strategies using Azure services such as Azure Machine Learning, Azure Kubernetes Service (AKS), Azure App engine and Azure Functions.
• Design and implement model supervision mechanisms to monitor model performance and health using Azure Monitor and Azure Application Insights.
• Develop automation frameworks for model training, deployment, and monitoring leveraging Azure Resource Manager (ARM) templates and Azure PowerShell.
• Collaborate with data scientists, engineers, and other stakeholders to design end-to-end workflows for machine learning projects.
• Implement drift detection and mitigation strategies using Azure Machine Learning and Azure Monitor.