Assignment type: Internship
Start date: As soon as possible
Assignment duration: 5 months
Location: Veghel
Education level: Bachelor
Desired study: Computer Science
Language: English
Developing predictive maintenance solutions requires a lot of complex steps that are typically executed manually. This ranges from initial data analysis and feasibility studies to the software development needed to bring a solution to a product. With the advent of Generative AI the possibilities of automating this process could have a huge impact on the speed at which these solutions can be developed. As market demand for predictive maintenance within the distribution domain is high this could significantly help us get to market sooner.
The challenge is that the development process consists of many different types of tasks that require their own context and tooling. The main question of this assignment is to identify which steps are already suitable for automation and what would it require to apply them in our development process
The intern will be part of the digital service department within the Distribution domain. This department is responsible for developing the digital services that help our customers to make optimal use their systems. The intern will be part of the predictive maintenance team and will collaborate with the data engineers data scientists frontend developers within the team as well as the stakeholders and subject matter experts.
Do you recognize yourself in this challenging profile Are you looking for an internship in our organization Please fill out the application form and upload your resume and cover letter. For more information contact us by e-mail:
Required Experience:
Intern
Vanderlande is the global market leader for value-added logistic process automation at airports, and in the parcel market. The company is also a leading supplier of process automation solutions for warehouses. ... The company focuses on the optimisation of its customers' business proc ... View more