Generative AI Engineer

Location - Singapore

Primary Skills - Gen AI, Data Science, Algorithms, Recommendation Modelling

Experience - 8+yrs

Generative AI technology to implement highly scalable solutions to solve real world problems

Build solutions from collecting training data set, analyzing data, to modelling to validating, and to delivering production grade solutions at scale

Drive both high level and detailed technical designs and conduct design reviews as needed

Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing and CI/CD tool integration

Actively participate in business and technical discussions, and forums across .

Qualifications

Master's degree in computer science, Computer Engineering, Information systems, or related STEM fields

2+ years full lifecycle machine learning application product development experience

2+ years of experience in building and delivering sophisticated solutions, that leverage various AI solutions, machine learning algorithms, or technologies and are able to scale optimally

B2C Market Mechanism Design Direction

Design and optimize B2C market mechanisms, including pricing, incentives, matching, and allocation frameworks to drive customer engagement and business growth

Develop end-end solutions from problem formulation, data analysis, mechanism modelling and simulation to experimentation, validation and large-scale deployment

Leverage economic theory, game theory and market design principles to create scalable, incentive compatible and efficient marketplace solutions

Drive both high level economic framework design and detailed implementation strategies and conduct cross functional design reviews as needed

Ensure robustness, fairness, and performance of deployed mechanisms, through continuous monitoring, experimentation (e.g A/B testing) and iterative optimization

Actively participate in business and technical discussions and forums across Amex to align market designs strategies with enterprise objectives.