Full Time ML DevOps Engineer Jobs, in Ambition Federal Territory - Maukerja

Build the Infrastructure That Powers AI at Scale.

Are you a DevOps engineer who wants to work at the intersection of infrastructure and artificial intelligence? If you enjoy architecting CI/CD pipelines, running containerised platforms on AWS, and helping Generative and Agentic AI systems reach production, this role was built for you. ML experience is a bonus, not a requirement.

Why Apply?
Join a newly created role in an enterprise analytics team at a leading regional bank, supporting the AI infrastructure behind Risk, Wealth, and Retail. You will work closely with experienced engineers and a regional counterpart in Singapore, and build real-world experience in large-scale banking AI. The setup is hybrid (3 days in the office, 2 days remote), with a two-stage virtual interview process.

The Role
You will design, build, and maintain the infrastructure that brings Traditional AI, Generative AI, and Agentic AI solutions to life in a complex enterprise environment. This is a DevOps role, not a data science role.

Key responsibilities include:

• Developing and maintaining automation scripts using Python and Linux shell scripting
• Building and maintaining end-to-end DevOps pipelines with CI/CD tooling including Bitbucket, Jenkins, Artifactory, and JIRA
• Deploying and integrating AI models into production via containerised platforms, primarily OpenShift
• Ensuring seamless cloud and on-premise integration on AWS
• Implementing network security protocols to protect AI systems and data pipelines
• Monitoring and optimising system performance, reliability, and scalability
• Collaborating with data scientists, architects, and the Singapore team to translate AI workflows into robust engineering solutions

What We Are Looking For:

• Bachelor's degree in Computer Science, Engineering, or a related field
• 4 to 5+ years of hands-on DevOps experience
• Strong hands-on experience with OpenShift, Docker, and Kubernetes (must-have)
• Hands-on experience with AWS
• Solid CI/CD pipeline experience across the full toolchain
• Strong Linux and Bash skills, plus Python for automation
• Knowledge of API integration and microservices architecture (must-have)
• Familiarity with observability tools such as Splunk, Grafana, Elastic Stack, or OpenTelemetry
• Banking experience is not required

Nice to Have:

• Experience with MLOps or deploying ML models
• Understanding of Generative AI concepts including prompt engineering and RAG pipelines

Priority to Malaysian citizens. Permanent role based in Kuala Lumpur.

Interested? Send your CV to us today and let's have a conversation.

JTK Number: JTKSM 995 | Company Registration Number: *************88 (1048918-T)