Senior Devops & MLOps Engineer

Duration: 12 months+

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.