UOB
Banking
SeniorDeveloper,MachineLearningOps
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Developer, Machine Learning Ops at UOB. Skills: MLOps, Integration Engineering, Traditional AI, Generative AI, Agentic AI. Building and integrating Traditional AI, Generative AI, and Agentic AI solutions into enterprise environments. Designing, implementing, and optimizing AI pipelines and infrastructure”
What You'll Achieve.
Establish the bank as a leader in deploying cutting-edge Machine Learning models; Enhance the bank's capabilities; Deliver premier AI services to stakeholders
Industry & Context.
Analytical skills; Translating AI workflows into robust engineering solutions
What They're Looking For.
Must Have
Bash and Unix/Linux command-line toolkit, OpenShift, Docker, Kubernetes, AWS, Python for automation and ML-related tasks, Workflow Orchestrator, such as Ctrl-M, Logging and Monitoring tools, such as Splunk and Geneos, Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry, Generative AI concepts, Agentic AI concepts
Nice to Have
Prompt engineering, RAG pipelines
What You'll Do.
Building and integrating Traditional AI
and Agentic AI solutions into enterprise environments
and optimizing AI pipelines and infrastructure
Developing and maintaining automation scripts
Ensuring seamless deployment and integration between cloud/prem environments
Integrating AI models into production environments
Implementing and maintaining network security protocols
Monitoring and optimizing system performance
Supporting CI/CD processes and infrastructure for AI model deployment and updates
How You'll Work.
Team & Collaboration
Working closely with data scientists, architects, and DevOps teams; Collaborating with cross-functional teams to understand AI workflows and translate them into robust engineering solutions; Coordination in data management, technology, and internal stakeholder collaboration
Communication Scope
Effective storytelling
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** **Who We Are** Enterprise Analytics (EA) stands at the forefront of UOB's vision, aiming to establish the bank as a leader in deploying cutting-edge Machine Learning models. Comprising a team of experts, we focus on enhancing the bank's capabilities in supporting key areas such as Risk, Wealth, Retail, etc., with a strong emphasis on coordination in data management, technology, and internal stakeholder collaboration. Upholding to UOB’s core value of being enterprising, we are incredibly thrilled about strengthening this strategic unit’s capabilities for the bank, envisioning significant progress and innovation. We firmly believe that advanced analytics is a pivotal factor in delivering premier AI services to our stakeholders. **Your Profile** We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm. **Your Role** This MLOps / Integration Engineer role focuses on building and integrating Traditiona
Applying for this Senior Developer, Machine Learning Ops 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.