Description
We are the movers of the world and the makers of the future. At Ford, we are all part of something bigger than ourselves.
As a German subsidiary of the Ford Motor Company, Ford Werke GmbH has been successfully operating in the automotive business for over 100 years. We are the makers of today and shapers of the future: together, we work on being ready for tomorrow as a modern mobility company.
The Merkenich spare parts warehouse stocks around 330,000 different parts and supplies around 1,000 dealerships, importers, and subsidiaries, as well as 7 other depots in Europe.
Responsibilities
Your tasks:
- Record the current process to optimise warehouse utilisation and occupancy of spare parts
- Investigate possible optimisation using an AI model
- Select the AI model and conduct modelling/investigation
- Develop proposals and procedures using AI
Qualifications
Your profile:
- Your studies have a background in Computer Science, AI/Machine Learning, or Software Engineering
- You enjoy working in an agile team
- You are communicative, motivated, and think solution-oriented
- You are familiar with Outlook, Excel, and PowerPoint
- You have good English language skills in writing and speaking
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/68340