Manager, AI Engineer

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.