About the job Engineer: Machine Learning III Qualifications and experience: 4 to 6 years Machine Learning and Software Engineering experience Strong analytical and problem-solving skills Expert in Python and SQL Experience with modern software development best practices, e.g. Code
A recruitment agency is seeking an Engineer for Machine Learning III in Stellenbosch, South Africa. The ideal candidate will have 4 to 6 years of experience in Machine Learning and Software Engineering, with strong analytical skills and proficiency in
Automation Engineer: Relocate to the Netherlands Imagine working with world-class automation systems, contributing to high-tech industrial projects, and growing your career in a country known for innovation, engineering excellence, and opportunity. If you’re ready to challenge yourself,
In this role, you will design, build and automate new production machines for primary and secondary production. Â Requirements: Bachelors degree in Mechatronic Engineering Fluency in verbal and written English Computer literate in MS Office and CAD
In this role, you will design, build and automate new production machines for primary and secondary production. Â Requirements: Bachelors degree in Mechatronic Engineering Fluency in verbal and written English Computer literate in MS Office and CAD
Purpose Statement To enable and enhance software quality assurance by designing and implementing a comprehensive set of activities and scenarios, combining automated and manual approaches. To drive quality assurance through effective automation practices, collaboration, and continuous
Department Description/Departement Beskrywing Faculty of Engineering Department of Mechanical and Mechatronic Engineering Associate Professor/Senior Lecturer: Machine Design (Stellenbosch Campus) Ref. ING03/324/0826 Fakulteit Ingenieurswese Departement Meganiese en Megatroniese Ingenieurswese Medeprofessoraat/Senior Lektoraat: Masjienontwerp (Stellenbosch-kampus) Verw. ING03/324/0826 Duties/Pligte Performing research
Working within a collaborative hybrid environment, youll have the opportunity to contribute throughout the entire product lifecycle, from concept and design through to deployment and ongoing enhancement. Youll work alongside talented engineers and data specialists while gaining