AI Infrastructure Engineer- Insurance

Michael Page (Hong Kong); Hong Kong; On-site; HKD 400,000 - 600,000; Full time

Benefits offered by this job

Opportunity to work on a renewable contract

Exposure to cutting-edge AI technologies

Collaborative and innovative environment

Job summary

Michael Page International (Hong Kong) Limited is seeking an experienced AI Infrastructure Engineer to design and develop scalable AI infrastructure. This position offers the chance to collaborate on innovative AI solutions and work in a technology-driven environment.

The successful candidate will have strong expertise in AI tools and programming, alongside experience with cloud platforms and orchestration tools. Join a leading organization in the insurance industry, based in Hong Kong and take your career to new heights.

Qualifications

• Strong expertise in AI tools, platforms, and frameworks.
• Proficiency in programming languages such as Python, Java, or similar.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Understanding of data processing and machine learning pipelines.
• Ability to work collaboratively in a technology-driven environment.
• A proactive approach to problem-solving and process improvement.

Responsibilities

• Designing and developing scalable AI infrastructure to support data-driven initiatives.
• Collaborating with cross-functional teams to integrate AI solutions into existing systems.
• Maintaining and optimizing AI platforms to ensure performance and reliability.
• Implementing automated workflows for AI model deployment and monitoring.
• Ensuring compliance with industry standards and data security protocols.
• Identifying and resolving technical challenges in AI infrastructure projects.
• Documenting system designs, processes, and updates for internal use.
• Staying updated on emerging AI technologies and recommending improvements.

Skills

AI tools expertise

Python

Java

Cloud platforms (AWS, Azure, Google Cloud)

Containerization and orchestration (Docker, Kubernetes)

Data processing knowledge

Job description

• Great Learning Platform
• Good Exposure to Financial Industry

About Our Client

This position is with a well-established organization in the insurance industry. The company operates as part of a large organization, known for its commitment to innovation and excellence in delivering solutions to its clients.

Job Description

As an AI Infrastructure Engineer, your main responsibilities will include:

• Designing and developing scalable AI infrastructure to support data-driven initiatives.
• Collaborating with cross-functional teams to integrate AI solutions into existing systems.
• Maintaining and optimizing AI platforms to ensure performance and reliability.
• Implementing automated workflows for AI model deployment and monitoring.
• Ensuring compliance with industry standards and data security protocols.
• Identifying and resolving technical challenges in AI infrastructure projects.
• Documenting system designs, processes, and updates for internal use.
• Staying updated on emerging AI technologies and recommending improvements.

The Successful Applicant

A successful AI Infrastructure Engineer should have:

• Strong expertise in AI tools, platforms, and frameworks.
• Proficiency in programming languages such as Python, Java, or similar.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Understanding of data processing and machine learning pipelines.
• Ability to work collaboratively in a technology-driven environment.
• A proactive approach to problem-solving and process improvement.

What's on Offer

• Opportunity to work on a renewable contract.
• Be part of a leading organization in the insurance industry.
• Exposure to cutting-edge AI technologies and infrastructure projects.
• Work in a collaborative and innovative environment based in Hong Kong.

If you are ready to take your career to the next level as an AI Infrastructure Engineer, we encourage you to apply today.