MLOps Engineer — AI Pipelines & Cloud DevOps
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Summary
Builds, deploys, and secures scalable AI/ML pipelines (traditional and generative) for UOB's innovation hub in Malaysia, working alongside data scientists and DevOps. Core stack centers on OpenShift, AWS, observability tooling, CI/CD, containerization, security, and Python/Bash scripting.
6255 UOB Innovation Hub 2 Sdn Bhd in Malaysia seeks a Machine Learning Operations engineer to build and integrate AI pipelines across traditional and generative models. You will work with data scientists and DevOps to design, deploy, and secure scalable AI infrastructure, with a focus on OpenShift, AWS, and observability tools.
Experience with CI/CD, containerization, and security is essential, as well as strong scripting in Python and Bash.