OVERALL ROLE PURPOSE:
Working within OCBC AI Lab, our Center of Excellence for Data Science and Artificial Intelligence, you will lead our new ML Engineering and Operations practice.
You will be creating and managing a team of 5 ML Engineers.
You will own Hydra – our MLOps ecosystem and design our future MLOps strategy to improve the scalability and maintainability of our models and deployments.
Responsibilities
Develop and own the OCBC MLOps Strategy to identify and prioritise the roadmap, including areas such as observability, model management, and scaling.
Develop common reusable data assets, such as a Feature Store and the Enterprise Customer Graph.
Support our data scientists in deploying and maintaining models in production.
Explore new emerging open-source technologies and how they could benefit our platforms and processes.
Requirements Job Qualifications
Postgraduate degree in Computer Science, Computer Engineering, or a similar computing intensive...