About this role
Design and maintain end-to-end MLOps and LLMOps pipelines to transition experimental models into production-ready services. Automate deployments using CI/CD workflows and manage scalable AI infrastructure on AWS.
Requires a degree in Computer Science or a related field and 3+ years of experience in MLOps, DevOps, or cloud-native engineering. Proficiency in Python, Docker, Kubernetes, and AWS cloud services is essential.
What they're looking for
MLOpsLLMOpsCI/CDDockerKubernetesAWSPythonSageMaker
Frequently asked questions
What does a Machine Learning Ops Engineer at OCBC do?
Design and maintain end-to-end MLOps and LLMOps pipelines to transition experimental models into production-ready services. Automate deployments using CI/CD workflows and manage scalable AI infrastructure on AWS. Requires a degree in Computer Science or a related field and 3+ years of experience in …
What skills does this Machine Learning Ops Engineer role need?
Key skills for this role include MLOps, LLMOps, CI/CD, Docker, Kubernetes, AWS.
How much does a Machine Learning Ops Engineer at OCBC pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Ops Engineer role remote, hybrid, or on-site?
This role is hybrid, based in Singapore.
How do I apply for this Machine Learning Ops Engineer role?
You can apply directly on OCBC's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.