Machine Learning Operations

About Company

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

About UOB Innovation HUB

UOB Innovation Hub 2 (InnoHub2) is a UOB-wholly owned subsidiary and a Centre of Excellence based in Malaysia, providing Group Business Services (GBS) to support the UOB Group. Started in 2021 with technology application design, development and support, InnoHub2 is expanding beyond technology services to deliver other business services to support the Bank’s growth ambition. We are looking for talented and motivated individuals to be part of the pioneer team spearheading the development and delivery of the new services.

As part of the InnoHub2 team, you will have the opportunity to work on Group initiatives and gain regional business exposure. We are dynamic, passionate and purposeful about delivering trusted financial solutions that enables business growth. An exciting career progression with varied opportunities awaits you at IH2. Come grow your career with us.

This MLOps role focuses on building and integrating Traditional AI, Generative AI, and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure

What you are expected to do :

• Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
• Develop and maintain the entire DevOps pipelines.
• Ensure seamless deployment and integration between cloud/prem environments (AWS).
• Integrate AI models into production environments using containerized platforms such as OpenShift.
• Implement and maintain network security protocols to safeguard AI systems and data pipelines.
• Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
• Monitor and optimize system performance, reliability, and scalability.
• Support CI/CD processes and infrastructure for AI model deployment and updates.

What qualifies you for the role :

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Bash and Unix/Linux command-line toolkit is a must-have.
• Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA workflow, and Confluence).
• Hands-on experience with OpenShift, Docker, Kubernetes.
• Knowledge of cloud platforms (e.g. AWS) is a must-have.
• Exposure to data and network security and compliance in AI systems.
• Knowledge of API integration and microservices architecture.
• Proficiency in Python used both for automation and ML-related tasks
• Knowledge of Workflow Orchestrator, such as Ctrl-M
• Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
• Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.