Translate complex algorithmic ideas - syntax parsing, semantic chunking, custom routing - into reliable, production ready software components.
Build and rigorously evaluate prototypes for future AI initiatives, including open source small language models (SLMs), custom embeddings, and multi agent / cross validation patterns, backed by measurable retrieval and quality metrics.
Architect multi tenant data, identity, and authorization layers that meet enterprise security and compliance requirements.
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Liaise with internal teams and external stakeholders (consultants, contractors, suppliers, and authorities such as TNB, ST, and SEDA) to ensure smooth project execution.
Monitor project progress, performance, risks, and quality, while managing issues, contractual matters, and ensuring compliance with HSE and QA/QC standards.
Prepare project reports, support regulatory submissions, lead meetings, assist in testing and commissioning, and drive continuous improvement within the project team.
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Ensure that there are robust arrangements to carry out the site supervision and contract management functions on site, including:
Ensure there are robust processes in place to manage staff availability and rosters, with appropriate staff available to manage the contractors’ compliance with their contracts.
Ensure contact management staff process routine progress claims.
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Ensure that there are robust arrangements to carry out the site supervision and contract management functions on site, including:
Ensure there are robust processes in place to manage staff availability and rosters, with appropriate staff available to manage the contractors’ compliance with their contracts.
Ensure contact management staff process routine progress claims.
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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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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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Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
Bachelor’s degree or above, with 5-8 years in software development and relevant experience in leading AI/ML development project
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