• US Citizen

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 11th Jan 2025

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.