About this role
Design and maintain robust MLOps pipelines for the training, deployment, and monitoring of machine learning models. Collaborate with cross-functional teams to integrate models into enterprise systems while ensuring security and governance compliance.
Requires a degree in Computer Science or a related field with over 3 years of experience in MLOps or DevOps. Proficiency in Python, containerization technologies, and cloud platforms is essential.
What they're looking for
PythonMLOpsDockerKubernetesAWSAzureGCPCI/CD
Frequently asked questions
What does a SO MLOps Integration Engineer, GMET at UOB do?
Design and maintain robust MLOps pipelines for the training, deployment, and monitoring of machine learning models. Collaborate with cross-functional teams to integrate models into enterprise systems while ensuring security and governance compliance. Requires a degree in Computer Science or a relate…
What skills does this SO MLOps Integration Engineer, GMET role need?
Key skills for this role include Python, MLOps, Docker, Kubernetes, AWS, Azure.
How much does a SO MLOps Integration Engineer, GMET at UOB pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this SO MLOps Integration Engineer, GMET role remote, hybrid, or on-site?
This role is hybrid, based in Singapore.
How do I apply for this SO MLOps Integration Engineer, GMET role?
You can apply directly on UOB's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.