About the Role
Why Join
Imagine being part of a team that harnesses the power of AI to drive business growth and innovation at OCBC. As a Machine Learning Ops (MLOps) Engineer, you’ll be the bridge that turns experimental models into production‑ready services that power our financial products. You’ll work on end‑to‑end ML pipelines, automate deployments, and ensure that models run securely, efficiently, and with high availability, all while collaborating with cross‑functional teams and seeing the direct impact of your work on our customers and the business.
How You Succeed
To succeed in this role, you'll need to stay at the forefront of MLOps advancements and cloud technologies, applying them to deliver robust, production grade AI systems. This means collaborating with stakeholders to understand business needs, designing, and developing scalable AI solutions, and continuously monitor and improve model performance. You'll need to balance technical complexity with busi...
Ready to Join Through a Referral?
Apply now and get connected directly with the hiring team
Apply for this Position