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Gen AI Engineer

External
LANCESOFT PTE. LTD. logoLancesoft · Plus, Singapore
S$96K–S$120K/yrFull-timeUnknown2w ago
Information Technology
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Responsibilities

  • Apply 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 Amex.

Requirements

  • 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.
  • This role resides within American Express Enterprise Technology Services (ETS)- Technology Decision Service Center of Excellence
  • 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.
  • Master's or PhD Degree in Economics, Market Design, Game Theory, Operations Research or related quantitative fields.
  • 1+ years of experience in mechanism design, pricing strategy, auction design, matching markets, or related B2C marketplace optimization domains.
  • 1+ years of experience in developing and implementing data-driven economic models or algorithmic solutions that scale effectively in production environments.

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