About this role
At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About the Role
The AI Engineer is responsible for designing, implementing, and maintaining robust MLOps pipelines to enable scalable, secure, and reliable deployment of machine learning models in production. The role bridges data science and engineering, ensuring seamless integration of AI solutions into enterprise systems and driving operational excellence in AI initiatives.- Design and implement MLOPS, i.e. set of tools and operating models used to deploy & maintain & monitor AI/ML models in production reliably and efficiently
- Support AI/ML solutions go-live integration
- Act as a bridge between data scientists and IT & data engineers & data architects, especially during development & production architecture design & set-up
- Design & build the technical architecture to deploy & maintain AI/ML in production
- Refactor AI/ML model training / testing code into CI-CD pipelines
- Test and optimize machine learning models and algorithms before they go in production
- Assist in monitoring and retraining models
- Performs other responsibilities and duties periodically assigned by supervisor in order to meet operational and/or other requirements
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.
Other facts
About AIA
AIA Group Limited and its subsidiaries (collectively “AIA” or the “Group”) comprise the largest independent publicly listed pan-Asian life insurance group. It has a presence in 18 markets – wholly-owned branches and subsidiaries in Mainland China, Hong Kong SAR(1), Thailand, Singapore, Malaysia, Australia, Cambodia, Indonesia, Myanmar, New Zealand, the Philippines, South Korea, Sri Lanka, Taiwan (China), Vietnam, Brunei and Macau SAR(2), and a 49 per cent joint venture in India. In addition, AIA has a 24.99 per cent shareholding in China Post Life Insurance Co., Ltd.
The business that is now AIA was first established in Shanghai more than a century ago in 1919. It is a market leader in Asia (ex-Japan) based on life insurance premiums and holds leading positions across the majority of its markets. It had total assets of US$328 billion as of 30 June 2025.
AIA meets the long-term savings and protection needs of individuals by offering a range of products and services including life insurance, accident and health insurance and savings plans. The Group also provides employee benefits, credit life and pension services to corporate clients. Through an extensive network of agents, partners and employees across Asia, AIA serves the holders of more than 43 million individual policies and over 16 million participating members of group insurance schemes.
AIA Group Limited is listed on the Main Board of The Stock Exchange of Hong Kong Limited under the stock codes “1299” for HKD counter and “81299” for RMB counter with American Depositary Receipts (Level 1) traded on the over-the-counter market under the ticker symbol “AAGIY”.
(1) Hong Kong SAR refers to the Hong Kong Special Administrative Region.
(2) Macau SAR refers to the Macau Special Administrative Region.
What you'll do
- The AI Engineer is responsible for designing, implementing, and maintaining MLOps pipelines for machine learning models. This role ensures the integration of AI solutions into enterprise systems and drives operational excellence.
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