objectives.
responsibilities: To anticipate and identify possible machine reliability problems, which could appear and take improvement. To record and analyse breakdown trends per machine using a maintenance system in order to motivate on ad hoc projects e.g. renovate and refurbish machines/installations and commission in order to optimise
such as Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning or Cloud Infrastructure Requirements: Knowledge and working with large scale data sets Machine learning techniques experience Working within an Identify and implement data mining / statistics / machine learning techniques Validate and test models Review
all machinery and equipment. Identify critical machines required for rehabilitation. Respond promptly machinery, including CNC lathes, CNC multi-tasking machines, CNC boring mills, grinding equipment, welding NQF equivalent Qualified Mill Wright 10 years' Machine tool Maintenance experience Conversant with the
and blueprints, ensure proper operation of all machines, and maintain facility safety. This role involves using specialized tools for building and repairing machines, as well as overseeing the installation, maintenance
operating manual and CNC machining equipment. - Strong understanding of machining processes, materials,
engines and services by applying strong expertise in machine learning, data mining and conducting information behaviour. Employ advanced data analytics and machine learning techniques to detect fraudulent activity similar 5 years' experience in a data science role Machine learning experience across multiple projects/ doing
opportunities through statistical, algorithmic, machine learning and visualisation techniques. Execute intelligent automation and predictive modelling. Build machine learning models from and utilises distributed data processing and analysis methodologies. Competent in Machine Learning programming in R or Python, with supplementary
business objectives. Develop predictive models and machine learning algorithms to forecast customer behaviour technologies and best practices in data science, machine learning, and artificial intelligence. Translate field. 2 years of experience in data analysis, machine learning, and predictive modelling. Proficiency
call-outs. Servicing of cranes, Arc Furnaces and machines. Carry out breakdowns on cranes, Arc Furnaces