Azure DevOps Engineer

Job Description:

Description:
Design, implement, and maintain end-to-end ML pipelines in Azure using Azure Machine Learning, Azure DevOps, Helm charts, and Prometheus.

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  Collaborate with data scientists, software engineers, and other stakeholders to deploy and monitor machine learning models in production environments.
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  Develop CI/CD pipelines for model training, validation, and deployment using Azure DevOps and Helm charts.
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  Implement best practices for model versioning, testing, and monitoring to ensure the reliability and performance of deployed models, leveraging Prometheus for monitoring and alerting.
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  Configure and manage Prometheus for monitoring Kubernetes clusters, applications, and custom metrics, ensuring high availability and scalability.
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  Create and maintain Helm charts for packaging and deploying Kubernetes applications, including machine learning models and associated services.
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  Troubleshoot and resolve issues related to model performance, scalability, and reliability in production environments.

Stay up-to-date with the latest developments in Azure ML services, Helm, Prometheus, and best practices for ML Ops.

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