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.
Develop and champion AI-native engineering workflows that serve as force multipliers for cross-disciplinary teams, enabling broader scope and faster iteration
Collaboration: Work closely with cross-functional teams, including those from the areas of infrastructure and cybersecurity, to ensure successful project delivery.
Assist in investigating feasible optimization suggestions for existing quality and efficiency pain points of the engineering and algorithm teams, and drive the implementation of solutions to improve delivery quality and efficiency.
Provide technical governance: Conduct architecture and design reviews, enforce standards, and ensure solutions comply with security, data, and government ICT policies.