Azure ML Engineer (MLOps) – Remote at ThoughtwaveSoft | Torre
Azure ML Engineer (MLOps) – Remote
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ThoughtwaveSoft

Azure ML Engineer (MLOps) – Remote

ThoughtwaveSoft
Emma
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Full-time

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Remote (anywhere)
Shared by
Juan Fernando Domínguez
 about 2 hours ago

Responsibilities

ResponsibilitiesRegister, deploy, and manage ML/AI/GenAI models using Azure ML StudioDeploy and manage models on AKS clustersBuild data processing, training, inference, and monitoring pipelinesImplement MLOps best practices and CI/CD workflows using Azure DevOpsUtilize MLflow for experiment tracking, model registry, and monitoringMonitor model performance, drift detection, and operational healthWrite production-quality Python code with proper dependency management and code quality practicesKey Skills RequiredAzure Machine Learning StudioAzure Kubernetes Service (AKS)Azure Blob StorageAzure Data Factory (ADF)Azure DevOps (ADO) PipelinesMLflowPythonMLOps & CI/CDGood to HaveDocker-based deployment experienceData Engineering fundamentalsExperience with Generative AI solutions on AzureWe are looking for a talented Azure Machine Learning Engineer with strong expertise in Azure ML, MLOps, and model deployment to join our team.📍 Location: Remote- Immediate joiners⏳ Experience: 5-8 Years🎓 Qualification: Any Graduate
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