Systems Developer / MLOP Engineer: 

Duties/ Responsibilities:

Analysis, Design, Develop, Test/QA and implement CI/CD Pipelines. Automating deployment processes and managing the continuous integration and delivery pipeline. Administratively suggest and enforce Azure security and governance improvements, automate administration tasks so we are complaint for privacy or other regulatory mandates. Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Configure and manage Azure cloud resources to support machine learning workloads efficiently. Collaborate with Azure administrators to ensure scalable and reliable infrastructure for MLOps. Implement Azure-based deployment pipelines for deploying machine learning models into production environments. Work alongside data engineers to develop and maintain data pipelines on Azure, ensuring proper data governance and integration with MLOps pipelines. Implement data versioning, data lineage tracking, and other data management best practices. Implement and maintain integration and deployment pipelines. Monitor and troubleshoot application and infrastructure issues and implement solutions in a timely manner. Collaborate with development and BI teams to ensure code quality and application performance. Stay updated on the latest Azure MLOps tools and services and integrate improvements into existing processes, etc.