AI/ML Platform Engineer(Non FS welcome, competitive pay)

Michael Page (Hong Kong); Hong Kong; On-site; HKD 446,000 - 714,000; Full time

Benefits offered by this job

Competitive monthly salary

Large-scale AI projects

Professional development

Collaborative tech team

Job summary

Michael Page (Hong Kong) is partnering with a leading public-sector financial institution undergoing a major digital transformation. The AI/ML Platform Engineer will design, build, and support enterprise AI/ML platform capabilities across the technology ecosystem.

You will develop software services and APIs, enhance platform reliability and observability, and collaborate with cross‑functional teams to implement modern engineering and CI/CD practices.

Qualifications

• Bachelor's degree or equivalent in CS/Engineering/IT.
• Experience in software/platform engineering or enterprise app development.
• Strong programming capability with modern languages and frameworks.
• Exposure to AI/ML, data platforms, or advanced analytics environments.
• Experience with cloud, containers, automation, or IaC is advantageous.
• Understanding of DevOps, CI/CD, monitoring, and platform support.

Responsibilities

• Design, develop, and support enterprise AI/ML platform capabilities across the technology ecosystem.
• Build and integrate software services, APIs, and platform components for AI solutions.
• Enhance platform reliability, performance, observability, and automation.
• Partner with cross-functional teams to implement modern engineering and CD practices.
• Support deployment and lifecycle management of ML/analytics in production.
• Evaluate emerging technologies and recommend improvements for scalability.
• Collaborate on infrastructure and cloud modernization initiatives.
• Work with stakeholders to deliver innovative tech solutions aligned with business goals.

Skills

Programming skills

AI/ML exposure

Cloud & containers

DevOps & CI/CD

Analytical thinking

Communication

Stakeholder management

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

Cloud platforms (AWS/Azure/GCP)

Containerization (Docker/Kubernetes)

Automation/IaC (Terraform/Ansibleなど)

Job description

About Our Client

Our client is a leading public-sector financial institution undergoing a significant digital transformation journey. The organization is investing heavily in modern data, cloud, and AI technologies to build next-generation digital capabilities that support innovation, operational excellence, and long-term strategic growth.

Job Description

As an AI/ML Platform Engineer, your main responsibilities will include:

• Design, develop, and support enterprise AI/ML platform capabilities across the technology ecosystem.
• Build and integrate software services, APIs, and platform components to enable advanced data and AI solutions.
• Enhance platform reliability, performance, observability, and operational efficiency through automation and monitoring.
• Partner with cross-functional technology teams to implement modern engineering and continuous delivery practices.
• Support the deployment and lifecycle management of machine learning and analytics solutions in production environments.
• Evaluate emerging technologies and recommend improvements to strengthen platform scalability and maintainability.
• Contribute to infrastructure and cloud modernization initiatives within a complex enterprise environment.
• Collaborate with internal stakeholders to deliver innovative technology solutions aligned with strategic business objectives.

The Successful Applicant

A successful AI/ML Platform Engineer should have:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
• Proven experience in software engineering, platform engineering, or enterprise application development.
• Strong programming capability with modern development languages and frameworks.
• Exposure to AI, machine learning, data platforms, or advanced analytics environments.
• Experience working with cloud, containerization, automation, or infrastructure-as-code technologies would be advantageous.
• Understanding of DevOps, CI/CD, system monitoring, and platform support best practices.
• Strong analytical, problem-solving, and stakeholder management skills.
• Self-motivated team player with excellent communication skills and the ability to work effectively in a dynamic environment.

What's on Offer

• Competitive monthly salary.
• Opportunity to work on large-scale AI and digital transformation initiatives.
• Collaborative and highly skilled technology team environment.
• Professional development and continuous learning opportunities.