Azure Devops Engineer
22 hours ago
Role & responsibilities
Azure MLOPS
Exp 6 to 14 years, Location: Pune /Bengaluru / Chennai / Mumbai
JD given below:
Technical Skills and Experience
- Design, implement, and maintain end-to-end ML pipelines in Azure using Azure Machine Learning, Azure DevOps, Helm charts, and Prometheus.
- 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 and Helm charts.
- 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.
- Create and maintain Helm charts for packaging and deploying Kubernetes applications, including machine learning models and associated services.
- 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.
Preferred candidate profile
Perks and benefits
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