UOB
Financial Services
SOMLOpsIntegrationEngineer,GMET
Neural analysis suggests this role is
optimal for Senior candidates.
“SO MLOps Integration Engineer, GMET at UOB. Skills: MLOps, DevOps, Machine Learning Systems, Python, Containerization, Cloud Platforms, CI/CD. Design, develop, and maintain robust MLOps pipelines for model training, deployment, monitoring, and retraining.. Implement and manage infrastructure for scalable machine learning workloads, including containerization (e. g. , Docker, Kubernetes) and cloud platforms (e. g. , AWS, Azure, GCP).”
Industry & Context.
Excellent problem-solving skills
What They're Looking For.
Must Have
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field., 3+ years of experience in MLOps, DevOps, or a similar role focused on machine learning systems., programming skills in Python is essential., Experience with data engineering concepts and tools (e.g. , SQL, Spark, Kafka).
Nice to Have
Experience in the financial services industry is a plus.
What You'll Do.
Design, develop, and maintain robust MLOps pipelines for model training, deployment, monitoring, and retraining., Implement and manage infrastructure for scalable machine learning workloads, including containerization (e.
, Docker, Kubernetes) and cloud platforms (e.
, AWS, Azure, GCP)., Develop and implement automated testing, continuous integration, and continuous deployment (CI/CD) strategies for ML models., Establish and maintain monitoring and alerting systems for model performance, data drift, and operational health., Troubleshoot and resolve issues related to ML model deployments and infrastructure., Ensure compliance with bank security and governance policies throughout the ML lifecycle., Research and implement new MLOps tools and best practices to optimize efficiency and reliability., Document MLOps processes, architectures, and solutions for maintainability and knowledge sharing.
How You'll Work.
Team & Collaboration
Collaborate with data scientists, software engineers, and IT operations teams to ensure efficient and reliable model integration into existing and new applications.
Communication Scope
communication and interpersonal skills
Full Job Description
**About UOB** United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. **Job Description** We are seeking a Senior Officer MLOps Integration Engineer to join our team. This role will be crucial in bridging the gap between data science and IT operations, focusing on the seamless integration, deployment, and monitoring of machine learning models within our enterprise systems. Job Responsibilities:** * Design, develop, and maintain robust MLOps pipelines for model training, deployment, monitoring, and retraining. * Implement and manage infrastructure for scalable machine learning workloads, including containerization (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP). * Collaborate with data scientists, software engineers, and IT operations teams to ensure efficient and reliable model integration into existing and new applications. * Develop and implement automated testing, continuous integration, and continuous deployment (CI/CD) strategies for ML models. * Establish and maintain monitoring and alerting systems for model performance, data drift, and operational health. * Troubleshoot and resolve issues related to ML model deployments and infrastructure. * Ensure compliance with bank security and governance policies throughout the ML lifecycle. * Research and implement new MLOps tools and best practices to optimize
Applying for this SO MLOps Integration Engineer, GMET role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about UOB?
Real rants from real employees. Read before you apply.