Assess the commercial potential and technical readiness levels of internal R&D projects for potential spin-offs or new business incubation.
Bachelor's degree in Engineering (e.g., Electrical, Mechanical, Chemical, Software, Materials Science, Biomedical) or a relevant scientific discipline from an accredited institution.
Master's or Ph.D. in a relevant engineering or scientific field is highly preferred.
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Integrate applications with relational or NoSQL databases, third-party systems, APIs and cloud services to support end-to-end business processes.
Translate business and functional requirements into practical technical designs, reusable application components and maintainable software solutions.
Develop and deploy applications on cloud platforms such as Microsoft Azure, AWS or Google Cloud Platform in accordance with approved architecture and security standards.
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• Develop and manage Microsoft Dataverse data models, tables, relationships, business rules, security roles, and integrations to support business applications.
• Develop intelligent workflows and process automation solutions to improve operational efficiency and business productivity.
• Integrate business applications with Microsoft 365, SharePoint Online, Microsoft Dataverse, databases, REST APIs, and third-party systems.
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Design and implement AI-powered solutions, including GenAI-assisted applications, chatbots, workflow automation, and other digital initiatives to improve business productivity.
Ensure application quality through testing, code reviews, performance optimisation, troubleshooting, and secure coding practices.
Manage source code, CI/CD pipelines, application deployments, system enhancements, and production support.
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