MLOps Integration Engineer - AI for Enterprise Fintech

Michael Page International (Malaysia) Sdn Bhd

Kuala Lumpur

On-site

MYR 120,000 - 180,000

Full time

6 days ago
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Job summary

Michael Page International (Malaysia) Sdn Bhd is seeking an experienced MLOps Engineer to join a growing Enterprise Analytics team within a well-established financial institution. The role focuses on bridging AI innovation with enterprise-scale deployment and governance across key business domains.

You will deploy, operationalize, and scale AI/ML solutions, build robust MLOps platforms, and collaborate with Data Scientists and AI Engineers to deliver production-ready capabilities in a fast-paced

Qualifications

  • 3+ years in MLOps, platform engineering, or DevOps.
  • Hands-on with AWS, OpenShift, Docker, and Kubernetes.
  • Strong Python and Linux scripting skills.
  • Experience with APIs, microservices, and enterprise integrations.
  • Understanding of reliability, security, and governance best practices.
  • Collaboration with Data Scientists and AI Engineers.

Responsibilities

  • Drive deployment and operationalization of AI, machine learning, and Generative AI solutions.
  • Build and maintain scalable MLOps platforms using AWS, OpenShift, Docker, and Kubernetes.
  • Develop automation and integration solutions using Python and Linux scripting.
  • Partner with cross-functional teams to deliver production-ready AI capabilities.
  • Strengthen platform reliability, security, and governance across enterprise environments.
  • Contribute to adoption of next-generation technologies, including Agentic AI and AI observability frameworks.

Skills

MLOps
AWS/OpenShift
Python scripting
Linux Bash
APIs & microservices

Tools

AWS
OpenShift
Docker
Kubernetes

Job description

Michael Page International (Malaysia) Sdn Bhd is seeking an experienced MLOps Engineer to join a growing Enterprise Analytics team within a well-established financial institution. The role focuses on bridging AI innovation with enterprise-scale deployment and governance across key business domains.

You will deploy, operationalize, and scale AI/ML solutions, build robust MLOps platforms, and collaborate with Data Scientists and AI Engineers to deliver production-ready capabilities in a fast-paced

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