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Manager, AI Engineer
Build and maintain scalable MLOps pipelines to deploy and monitor AI models in production
Shanghai
Mid-Level
4 weeks ago
Aia
Provides life insurance, retirement, and financial services solutions across Asia-Pacific, focusing on protection, savings, and wealth management.
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AI Engineer
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.
Responsibilities include:
- Design and implement MLOps
- 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
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About Aia
Provides life insurance, retirement, and financial services solutions across Asia-Pacific, focusing on protection, savings, and wealth management.