About this role
Lead the design and maintenance of end-to-end MLOps and LLMOps pipelines to scale AI capabilities within the bank. Oversee the automation of deployments, model monitoring, and the transition of experimental models into production-ready services.
Requires a degree in Computer Science or a related field with over 5 years of experience in MLOps or DevOps, including at least 2 years in a leadership role. Must possess expert knowledge of AWS services, containerization tools like Docker and Kubernetes, and proficiency in Python.
What they're looking for
MLOpsLLMOpsAWSKubernetesDockerPythonCI/CDTerraform
Frequently asked questions
What does a Machine Learning Ops Lead - VP at OCBC do?
Lead the design and maintenance of end-to-end MLOps and LLMOps pipelines to scale AI capabilities within the bank. Oversee the automation of deployments, model monitoring, and the transition of experimental models into production-ready services. Requires a degree in Computer Science or a related fie…
What skills does this Machine Learning Ops Lead - VP role need?
Key skills for this role include MLOps, LLMOps, AWS, Kubernetes, Docker, Python.
How much does a Machine Learning Ops Lead - VP 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 Lead - VP role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Machine Learning Ops Lead - VP 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.