Develop a deep understanding of APJ market dynamics, customer workflows, and EPM value propositions to improve customer intimacy, conversion, and competitive positioning.
Lead data governance and data management initiatives, translating business requirements into practical technology solutions and architecture blueprints.
Develop deep learning AI algorithms for applications with health data. This position involves developing and implementing models like Transformer-based language models, vision Transformer (ViT) image-analysis models, and general neural network based modeling algorithms. In addition to experience in developing such models, there is a need for experience in implementing them effectively in Python. The scientist will develop and implement such models, and will apply them on clinically relevant data connected to the health clusters in Singapore. The goal of the work of this scientist is to use advanced AI technology to improve health outcomes, via precision medicine, population health, and prediction of illness prior to the onset of symptoms (to realize prevention, and enhanced health).
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Agency Onboarding and Support: Coordinate agency onboarding, workspace setup and user enablement, provide technical guidance to agency IT teams and service desks, and maintain operational documentation and knowledge articles.
Apply AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, Cursor) in your own delivery work, trying out prompting techniques and workflows and feeding practical learnings back into the AI Platform Lead's adoption program.
Support regional marketing initiatives by researching target markets and competitors, adapting campaign materials and coordinating with internal teams and external partners.
Practice AI-native development: use approved GenAI coding assistants and agents to explore requirements, design solutions, generate code and tests, write documentation, and troubleshoot issues.
