Application Development Manager- Gen AI project;

Full Description

As an Application Development Manager for Generative Artificial Intelligence based in Hong Kong, you will be entrusted with driving transformative projects that harness the power of advanced AI technologies.

• Lead the end-to-end delivery of generative AI projects, collaborating closely with diverse teams to ensure successful outcomes and meaningful business transformation.

• Utilise your technical expertise in prompt engineering, model fine-tuning, and solution optimisation to deliver scalable, efficient, and reliable AI-driven applications.

• Benefit from flexible working arrangements and a culture that prioritises knowledge sharing, ongoing training opportunities, and personal development within a forward-thinking environment.

• Oversee the implementation of generative artificial intelligence use cases, including natural language processing and computer vision, by collaborating with cross-functional teams to define objectives and execute comprehensive project plans.

• Provide expert guidance on designing, developing, and deploying generative AI solutions, including prompt engineering strategies that influence foundation model behaviour and output quality.

• Conduct thorough research to identify suitable foundation models for fine-tuning, ensuring optimal performance and alignment with business needs.

• Optimise generative AI models for scalability, speed, and resource efficiency by applying up-to-date industry best practices and technological advancements.

• Take responsibility for all aspects of project management such as planning, resource allocation, timeline tracking, risk assessment, issue resolution, and milestone monitoring.

• Communicate effectively with stakeholders at all levels by providing regular updates on project status, gathering requirements, defining solution architectures, and ensuring smooth system integration.

• Develop robust testing strategies to guarantee the reliability, scalability, and performance of implemented solutions while proactively addressing any issues or bottlenecks encountered during deployment.

• Create detailed technical documentation, user guides, and training materials to support knowledge transfer and empower end-users to maximise the benefits of new solutions.

• Facilitate training sessions and workshops aimed at educating users on functionalities and advantages of implemented generative AI technologies.

• Continuously seek opportunities for process improvement by contributing to the development of best practices, standards, frameworks, automation initiatives, and optimisation efforts.