Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life
Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry
Develop software components based on microservices-based architecture
Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle
Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs
Write thought leadership articles, including blogs and papers, on AI