AI Infrastructure Engineer- Insurance
Summary
Build and maintain scalable AI infrastructure for an insurance company, deploying models and automating workflows using Python, cloud platforms, and Kubernetes.
- 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.
