Senior MLOps Engineer: AI Pipelines & Cloud Automation

UOB Group

Kuala Lumpur

Hybrid

MYR 200,000 - 330,000

Full time

14 days+
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Job summary

6255 UOB Innovation Hub 2 Sdn Bhd is hiring a Senior Developer to lead ML Operations, building and integrating traditional, generative, and agentic AI in enterprise environments. You will partner with data scientists, architects, and DevOps to design scalable pipelines and secure infrastructure.

The role requires strong Linux scripting, CI/CD experience, and hands-on work with OpenShift, Docker, Kubernetes, and cloud platforms like AWS.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Hands-on experience with CI/CD tools and DevOps pipelines is expected.
  • Experience with cloud platforms (AWS) and AI/ML production environments.

Responsibilities

  • Develop and maintain automation scripts and CI/CD pipelines.
  • Integrate AI models into production using containerized platforms (OpenShift).
  • Ensure secure deployment and data pipelines across cloud environments.
  • Collaborate with data scientists, architects, and DevOps teams to optimize AI workflows.
  • Monitor system performance and reliability; implement observability tooling.
  • Support API integrations and microservice-based AI deployments.
  • Implement security controls for AI systems and data pipelines.
  • Assist in deployment and update of AI models in production.

Skills

Bash & Unix/Linux
CI/CD pipelines
OpenShift
Docker
Kubernetes
AWS
API integration
Microservices
Python
Ctrl-M
Splunk
Langfuse
OpenTelemetry
Grafana
Generative AI
Agentic AI

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

OpenShift
Docker
Kubernetes

Job description

6255 UOB Innovation Hub 2 Sdn Bhd is hiring a Senior Developer to lead ML Operations, building and integrating traditional, generative, and agentic AI in enterprise environments. You will partner with data scientists, architects, and DevOps to design scalable pipelines and secure infrastructure.

The role requires strong Linux scripting, CI/CD experience, and hands-on work with OpenShift, Docker, Kubernetes, and cloud platforms like AWS.

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