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* To carry out daily electrical maintenance * To perform works at project site * Foresee any potential risk and recommendation for improvement plan * To conduct inspection & troubleshooting * Good responsibility and independent ...
1. Measurement of project works. 2. Able to estimate project budget. 3. Forecast the cost of different materials needed for the project. 4. Liaise with consultants, sub-contractors and suppliers. 5. Site visit and evaluation. An ...
1. TO SUPPORT, MAINTAIN AND ADMINISTER COMPUTER, NOTEBOOK, NETWORK & SERVER INCLUDING COMPUTER HARDWARE, SYSTEM SOFTWARE, APPLICATION SOFTWARE AND ALL CONFIGURES. 2. TROUBLESHOOTING, RESOLVING AND MAINTENANCE OF SERVER, PC, NOTEBOOK HARDWARE AND SOFTWARE. 3. PERFORM SYSTEM BACKUP, DATA BACKUP AND ...
Able to handle full set account. Complied with accounting standard & tax regulation. Ensure the accuracy & efficiency of accounting process. Liaise with external parties including suppliers, bankers, auditors, tax agents, company ...
Job Responsibilities : Responsible for the business development with the existing & potential customers To visit sites of palm oil mill, KCP and other project sites for after sales services. <...
* Minimum 2 years working experience * Setup, operate & maintain CNC machine * Able to interpret technical drawing and measurement * Able to work overtime * Good responsibility and independent An attractive remuneration and career ...
To assist in payroll calculation timely and accurately. To monitor the attendance of employees. To prepare, organise and update record. To coordinate and support others department daily activities. Any other ...
Job Description – Update information on supplier</...
Maintain cleanliness of the production area and other surroundings as well Establish, control, monitor, and maintain documentation of quality system by the requirements stated in the GMP/HACCP/ISO22000 certification Handle internal and external ...
As part of the Data Science and Analytics team for Back-End Manufacturing & Technology, the candidate is expected to deploy machine learning (ML) and deep learning (DL) models to improve productivity for the manufacturing equipment process at assembly. <...
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