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Senior Devops & MLOps Engineer
- Designs and implements production-grade CI/CD, infrastructure automation, and monitoring solutions on Azure to enable reliable deployment and scaling of enterprise applications and AI platforms.
- Develop and maintain automated pipelines using Azure DevOps, ensuring seamless build, test, and deployment processes across environments.
- Brings deep expertise in DevOps, AIOps, containerization, and cloud-native architectures, ensuring high availability, security, and operational excellence across the software life cycle.
- Collaborate with development, data, and AI teams to integrate DevOps practices into machine learning and data pipelines (MLOps).
- Good to have Pharma domain Experience.