Internship - Data Science / Artificial Intelligence - Hannover, Deutschland - Continental
Beschreibung
Company Description
Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2022, Continental generated sales of €39.4 billion and currently employs around 200,000 people in 57 countries and markets.
With its premium portfolio in the car, truck, bus, two-wheel and specialty tire segment, the Tires group sector stands for innovative solutions in tire technology.
For specialist dealers and fleet management, Tires offers digital tire monitoring and tire management systems, in addition to other services, with the aim of keeping fleets mobile and increasing their efficiency.
With its tires, Continental makes a significant contribution to safe, efficient and environmentally friendly mobility.
The Machine Intelligence department at our location in Hannover-Stöcken is in charge of developing and providing intelligent solutions and products for tire production.
Your tasks will focus on the following activities:
- Comparison of AI hardware platforms
- Definition of use cases and requirements for the use of AI in production environments
- Support in AI projects
- Programming with machine learning algorithms
Qualifications
- Students (M/F/diverse) that study Computer Science, Electrical Engineering, Industrial Engineering, Production/Automation Engineering, Machine Learning, Artificial Intelligence or similar
- Ideally having a specialization in computer science / digitalization
- Competent handling of MS Officeprograms
- Fluent English language skills, German skills not relevant
- Team player, structured way of working and quick comprehension
Applications from severely handicapped people are welcome.
Additional Information
What we offer:
- Exciting and varied tasks
- Motivated and diverse team
- Personal support from trained and experienced employees
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