Job
Description
Design, implement, and maintain end-to-end ML pipelines in Azure using Azure Machine Learning, Azure DevOps Collaborate with data scientists, software engineers, and other stakeholders to deploy and monitor machine learning models in production environments. Develop CI/CD pipelines for model training, validation, and deployment using Azure DevOps Implement best practices for model versioning, testing, and monitoring to ensure the reliability and performance of deployed models, leveraging Prometheus for monitoring and alerting. Configure and manage Prometheus for monitoring Kubernetes clusters, applications, and custom metrics, ensuring high availability and scalability. 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. Technology with heavy specialization in Veeam and Backup technologies. Extensive experience on Veeam Backup and recovery, Veeam one, Veeam Enterprise manager Veeam backup failure, Veeam back up configuration on multiple environment such as on-prem, Azure, AWS etc., Iron-mountain veeam backup and Tape library. Extensive experience and knowledge in the design, administration, tuning and troubleshooting of: Veeam Backup and Replication Veeam Enterprise Manager Veeam ONE Veeam Cloud Connect Veeam Service Provider Infrastructure Veeam Iron Mountain backup management Veeam Tape Backup management Azure Native backup Extensive experiences with Backup reporting and inventories.
