Machine Learning & Data Engineer - AI for Autonomous Systems (m/w/d)

70173 Stuttgart

Job Description:
Airbus Defence and Space is looking multiple
Machine Learning & Data Engineer (d/f/m) - AI for Autonomous Systems
To shape the future of autonomous systems, Airbus is pooling its strengths in artificial intelligence and autonomy. For this purpose, we are establishing a new, agile Competence and Development Center at the traditional technology site of Tesat in Backnang. In this environment, which combines decades of expertise in space technology with the dynamism of a startup, we are developing the next generation of AI-powered defense and dual-use applications.
As a Machine Learning & Data Engineer, you are at the heart of our AI development. You not only develop the intelligent algorithms that enable our systems to understand and act but also build the robust data infrastructure required to do so. Your work lays the entire foundation for a successful "Data-Driven Defence."
Your location
Backnang is a thriving town located just 30 kilometres northeast of Stuttgart, offering an ideal blend of urban convenience and natural beauty. With excellent transport connections, a strong local economy, and a high quality of life, it is an attractive place to work and live. The town boasts a rich industrial heritage and a growing tech and innovation scene, making it perfect for highly qualified professionals.
Your benefits

The unique opportunity to shape the future of autonomous systems at a world-leading aerospace company
An inspiring work environment that combines the innovative power of a startup with the expertise of an established technology site
A team of brilliant minds working together on a grand vision for Europe's technological sovereignty
An attractive salary, flexible working hours, and excellent professional development opportunities within the Airbus group

Your tasks and responsibilities

Model Development: Design, implement, and train state-of-the-art machine learning models, particularly in the areas of computer vision and sensor fusion
Data Infrastructure: Conceptualize, build, and maintain scalable ETL/ELT data pipelines for processing multimodal sensor data.
Data Platform Management: Build and optimize our central data platform (Data Lake/Warehouse) to ensure data availability and quality
Optimization & Validation: Continuously improve model performance and conduct rigorous validations under real and simulated conditions
MLOps & Integration: Collaborate closely with our engineers to seamlessly integrate models and data processes into our CI/CD pipelines

Desired skills and qualifications

A completed Master's degree or PhD in Computer Science, Data Science, or a related field
Proven experience (approx. 4-8 years) in developing deep learning models as well as in data engineering (big data technologies, cloud platforms)
Excellent programming skills in Python, SQL, and proficiency with common ML frameworks (e.g., PyTorch) and data tools (e.g., Spark, Databricks) -
A proactive, solution-oriented work ethic and the ability to thrive in an agile, interdisciplinary team
Fluent in German and English

Please note that interviews likely will take place in December.
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
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 GmbH
Employment Type:
Permanent
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Experience Level:
Professional
Job Family:
Qualification & Operability
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@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.

Airbus

70173 Stuttgart

Permanent Link

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