ML Ops Integration Engineer (Fintech)

Michael Page International (Malaysia) Sdn Bhd; Kuala Lumpur; In loco; MYR 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

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

Competenze

• 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.

Mansioni

• 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.

Conoscenze

MLOps

AWS/OpenShift

Python scripting

Linux Bash

APIs & microservices

Strumenti

AWS

OpenShift

Docker

Kubernetes

Descrizione del lavoro

We are seeking an experienced MLOps Engineer to join a growing Enterprise Analytics team. This role is ideal for technology professionals who are passionate about bridging AI innovation with enterprise-scale implementation.

Our client is a well-established financial institution with a strong commitment to innovation, the organization is building advanced AI capabilities across key business domains and offers professionals the opportunity to work on meaningful, enterprise-scale initiatives alongside experienced technology and analytics leaders.

Description

• Drive the 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 the adoption of next-generation technologies, including Agentic AI and AI observability frameworks

Profile

A successful 'MLOps Engineer' professional should have:

• Over 3 years of experience in MLOps, platform engineering, DevOps, or infrastructure-focused roles
• Hands‑on experience with AWS, OpenShift, Docker, and Kubernetes
• Strong proficiency in Python and Linux/Bash scripting for automation and system integration
• Experience working with APIs, microservices, and enterprise application integrations
• A solid understanding of system reliability, security, and operational best practices
• The ability to collaborate effectively with Data Scientists, AI Engineers, and cross‑functional stakeholders
• Strong problem‑solving skills with a proactive approach to troubleshooting and continuous improvement

Job Offer

• Exposure to large‑scale projects and collaboration with experienced Data Scientists, AI Engineers, and Technology Leaders
• Salary range of MYR 120,000 to MYR 180,000
• Continuous learning opportunities in one of the fastest‑growing areas of technology and innovation
• The chance to make a visible impact by delivering AI solutions that support real business decisions and outcomes

If you're excited about working with AI technologies, solving complex engineering challenges, and turning innovative ideas into real‑world solutions, we'd love to hear from you.