Job Description:
In this position you will join an experienced team of Cloud Sofware Engineers, Data Analysts and Domain Experts in building novel approaches that tackle the challenge of increasing predictability of air traffic operations.
In this job you will have to:
- Familiarize with available datasets to create modern, reliable AI-based Predictive Solutions
- Based on the stated or anticipated business needs, understand and perform their mapping into the problem space of statistics, machine learning and AI
- Run controlled experiments to find the best solution. Implement the solution based on state of the art algorithms using best practices from software engineering
- Create protocols for monitoring of the accuracy of models against business needs
Skills required include:
- Knowledge of latest AI techniques
- Experience developing data pipelines and engineering solutions to deliver stable AI solutions
- Bachelors degree in Mathematics, computer science or similar
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbHEmployment Type:
GE - Werkstudent-------
Experience Level:
StudentJob Family:
Digital By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom&64;airbus.com.
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.