Grade : Paterson Grade: A Sections : Intaglio (x3), Litho (x2) and Finishing (x2) Number of Positions : 7 feeder to ensure good quality paper feed into the machine, Troubleshoot and resolve feeder related problems cutting machine for boards, assist with the changeover, make ready, cleaning and stripping of machine Report
Grade : Paterson Grade: A Sections : Intaglio (x3), Litho (x2) and Finishing (x2) Number of Positions : 7 feeder to ensure good quality paper feed into the machine, Troubleshoot and resolve feeder related problems cutting machine for boards, assist with the changeover, make ready, cleaning and stripping of machine Report
system maintenance Adroid system, PLCs and HMI machines support Experience: 3 - 5 Years experience in in IT support and services Adroid systems, HMI machines and PLCs experience Requirements: Matric / Grade
business objectives. Develop predictive models and machine learning algorithms to forecast customer behavior technologies and best practices in data science, machine learning, and artificial intelligence. REQUIREMENTS: field. 2 years of experience in data analysis, machine learning, and predictive modeling. Proficiency
advantage Understand how to operate balancing machines Understand how to operate, install, service, repair repair, calibrate & test alignment machines Alignment of vehicles (technical adjustments plus interpretation)
advantage Understand how to operate balancing machines Understand how to operate, install, service, repair repair, calibrate & test alignment machines Alignment of vehicles (technical adjustments plus interpretation)
hydraulic presses, industrial robots, CNC-milling machines, project installations and spot welding stations
installations on hydraulic presses, Industrial robots, CNC Machines, Spot welding guns as well. Must be prepared to
driver's license Understand how to operate balancing machines Knowledge of Alignment (interpretation of vehicle
driver's license Understand how to operate balancing machines Knowledge of Alignment (interpretation of vehicle