Design and govern standards for endpoint, identity, and infrastructure operations (documentation governance, baseline configurations, escalation rules).
Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.
Perform lifecycle for our different CI/CD tools (running on different platforms such as Microsoft Azure, Kubernetes or Virtual Machines on premise) to ensure security, availability, and maintainability of the platforms
Own assigned deliverables throughout the software development lifecycle, including design, implementation, integration, troubleshooting, and deployment.