A strong brand, a team, an excellent employer - that's STILL. With around 9,000 employees, we have been developing the future of intralogistics for our customers for over 100 years. STILL offers tailor-made internal logistics solutions worldwide and implements the smart interaction of forklifts and warehouse technology, software, services and service. As part of the KION Group, we operate in a strong international brand association between STILL, Linde Material Handling and Baoli. Convince yourself of a cross-brand activity with us!
You are part of the machine vision team at the Central Technology Organization of the KION Group and you work on setting new standards in safety and efficiency for the warehouse of the future. The Machine Vision Team is interdisciplinary and also consists of hardware, software and AI engineers. In this set up you are responsible for the data pipeline of the AI applications. Speed and practicality are everything for us - that's why we test data acquisition, processing and application directly in our test vehicles/vehicles. In your role, you also work closely with the teams that are on site at the customer to acquire new data and are responsible for the annotation of the data.
At STILL you are part of our team from day one and your commitment pays off. The key data at a glance:
Attractive remuneration package
Special payment depending on the company's success
Contractual holiday entitlement of 30 days
Flexible working time model
Training for professional and personal development
Employee offers for discounted purchases for various brands and products
In your role as a data scientist, you will acquire, manage and analyze large image data sets from our customers
In addition, you define scenarios and edge cases, environments and processes for the acquisition of new data, which our service network will implement for our customers
You are also responsible for selecting training, validation and benchmark data sets for deep neural networks for image processing and making them available to the development departments of the entire KION Group
You develop automation solutions for filtering or annotating large amounts of data on our own KION-wide AI pipeline
You work closely with other departments across all KION brands and several external partners to oversee and ensure data annotations.
You should have a university degree with a technical orientation, preferably in computer science, statistics, physics, mathematics, robotics or similar.
You should have skills and experience in the methods and applications of data analysis, especially image data and artificial intelligence. Points of contact with machine learning would be desirable here
You should have skills to manage, process and analyze large complex data sets
You have a passion for material handling and logistics
You bring experience in the languages Python, Jupyter Notebook or similar and have strong communication skills to build a network, both in the research context and with technology providers
Find out in the video why you should become a game decider:
A history of the future - 100 years of STILL
We look forward to meeting you!
Mr. Jens Förster will be happy to answer your first questions by telephone on 06021/99 1579 .
See for yourself how many good reasons there are to choose STILL and apply online.