Senior Developer, Machine Learning Operations

6255 UOB Innovation Hub 2 Sdn Bhd; Malaysia; On-site; MYR 120,000 - 180,000; Full time

Job summary

6255 UOB Innovation Hub 2 Sdn Bhd in Malaysia seeks a Machine Learning Operations engineer to build and integrate AI pipelines across traditional and generative models. You will work with data scientists and DevOps to design, deploy, and secure scalable AI infrastructure, with a focus on OpenShift, AWS, and observability tools.

Experience with CI/CD, containerization, and security is essential, as well as strong scripting in Python and Bash.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Hands-on CI/CD experience with Bitbucket, Jenkins and related tools.
• Experience with OpenShift, Docker and Kubernetes.
• Cloud platform experience (AWS) and security/compliance awareness in AI systems.
• Proficiency in Python for automation and ML tasks.
• Knowledge of API integration and microservices architecture.
• Familiarity with Langfuse, Elastic Stack, Grafana, and OpenTelemetry for observability.

Responsibilities

• Develop and maintain automation scripts using Linux shell scripting and Python.
• Build and maintain end-to-end DevOps pipelines.
• Ensure seamless deployment across cloud and on-prem environments (AWS/OpenShift).
• Integrate AI models into production using containerized platforms.
• Implement and maintain network security protocols for AI systems.
• Collaborate with cross-functional teams to translate AI workflows into engineering solutions.
• Monitor system performance, reliability, and scalability.
• Support CI/CD processes and infrastructure for AI model deployment and updates.

Skills

Bash/Unix CLI

CI/CD pipelines

OpenShift

Docker

Kubernetes

AWS

Security/compliance

API integration

Python

Ctrl-M

Logging/Monitoring

Observability

Generative AI

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Bitbucket

Jenkins

Artifactory

Sonar

Veracode (SAST)

JIRA

Confluence

OpenShift

Docker

Kubernetes

Splunk

Grafana

OpenTelemetry

Langfuse

Job description

Company

6255 UOB Innovation Hub 2 Sdn Bhd

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. UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region.

We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term.

Job Description

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 Machine Learning Operations 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.

Key Responsibilities

• 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.

Key Requirements

• 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.

Additional Requirements

Be a Part Of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Career Site

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