Computational Modelling

1. Develop deep learning/ machine learning algorithms to optimize the production efficiency, quality and people productivity of manufacturing processes, not limited to defect/parts inspection, predictive maintenance, anomaly detection, timeseries forecasting, customized Large Language Model (LLM) / Visual Language Model (VLM), etc 2. Use data to create models, perform statistical analysis, and train and retrain systems to optimise performance

1. Supports the production of scalable and optimised artificial intelligence (AI)/machine learning (ML) models. 2. Focuses on building algorithms for the extraction, transformation, and loading of large volumes of real-time, unstructured data to deploy AI/ML solutions from theoretical data science models. 3. Runs experiments to test the performance of deployed models and identifies and resolves bugs that arise in the process. 4. Works in a team setting and is proficient in statistics, scripting, and programming languages required by the organisation. 5. Familiar with the relevant software platforms in which the models are deployed. 6. Knowledgeable of the requirements under the Model AI Governance Framework and the Personal Data Protection Act (PDPA) in his work on AI/ML models. 7.Determined individual comfortable working with large data sets, keen interest in problem solving and experimentation.

1. Designs systems to facilitate access to and finding of information. 2. Plans, designs, develops, and tests internal information-delivery solutions and data models with the focus on providing positive user experience. 3. Works with end users to specify requirements, create and implement designs to meet internal and client-facing objectives. 4. Develops information management standards and practices, in compliance with data privacy policies and ethics and governance frameworks. 5. Works in a team setting and is proficient in database systems, scripting and programming languages required by the organisation. 6. Familiar with the relevant software platforms on which the solution is deployed. 7. Integrates diverse needs and perspectives from internal and external clients and possesses a creative mind to develop new and fresh ideas and solutions. 8. Possesses strong leadership and communication abilities and is able to influence key stakeholders and clients he interfaces with.

1. Supports the design, implementation, and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner. 2. Focuses on defining optimal solutions to data collection, processing, and warehousing. 3. Designs, codes, and tests data systems and works on implementing those into the internal infrastructure. 4. Focuses on collecting, parsing, managing, analysing and visualising large sets of data to turn information into insights accessible through multiple platforms. 5. Proficient in database systems, scripting, and programming languages required by the organisation. 6. Familiar with the relevant software platforms on which the solution is deployed. 7. Passionate about numbers and works with large data sets. 8. Has a keenness for understanding business processes and resolving challenges to provide solutions with the help of clean and interlinked databases and architectures.

1. Plans and leads the development of new and advanced data analytic techniques, methodologies and analytical solutions from design, prototyping, and testing. 2. Identifies and develops core data and artificial intelligence (AI) science components for the delivery of projects, architects specialised database and computing environments, explores and visualises complex data set to provide incremental business value. 3. Extracts and integrates data from various sources, and creates advanced models and algorithms suitable for the business use case. 4. Conducts testing on data and AI models, interprets findings from testing, and evaluates model performance for scaling and deployment. 5. Develops compelling and logically structured communication materials to facilitate stakeholder buy-in. 6. Works in a team setting and is proficient in statistics, scripting and programming languages required by the organisation. 7. Familiar with the relevant software platforms on which the solution is deployed. 8. Has strong analytical and critical thinking skills to identify and solve problems. 9. Passionate about analysing and resolving complex business problems, displays intellectual curiosity towards using data and AI to address business needs and challenges. 10. A data storyteller, able to influence key stakeholders and spearhead a data-driven approach to resolve business issues.

1. Install, maintain, and repair radio frequency (RF) equipment, including transmitters, receivers, and antenna systems. 2. Perform routine checks and calibrations on RF hardware to ensure optimal performance and compliance with specifications. 3. Troubleshoot and diagnose issues with RF systems, identifying root causes and implementing effective solutions. 4. Conduct field tests and measurements of RF signal strength, coverage, and quality to optimize network performance. 5. Collaborate with RF engineers and other technical staff to support the design and deployment of RF infrastructure. 6. Maintain accurate records of maintenance activities, test results, and equipment inventory. 7. Adhere to safety standards and regulations when working with RF equipment and in the field. 8. Stay current with the latest RF technologies and industry developments to enhance skills and knowledge. 9. Provide technical support and guidance to team members and clients regarding RF systems and operations. 10. Assist in the development and implementation of RF system upgrades and expansions.