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Machine Learning & Data Engineer – AI for Autonomous Systems(m/w/x)
Developing ML models for computer vision and sensor fusion, optimizing data pipelines for multimodal sensor data. Master's/PhD in CS/Data Science and proven deep learning experience required. Flexible working hours.
Requirements
- Master's degree or PhD in Computer Science, Data Science, or related field
- Proven experience in developing deep learning models and data engineering
- Excellent programming skills in Python and SQL
- Proficiency with ML frameworks and data tools
- Proactive, solution-oriented work ethic
- Ability to thrive in an agile, interdisciplinary team
- Fluency in German and English
Tasks
- Design and implement machine learning models
- Train state-of-the-art models in computer vision and sensor fusion
- Build and maintain scalable ETL/ELT data pipelines
- Process multimodal sensor data
- Optimize the central data platform for availability and quality
- Continuously improve model performance
- Conduct rigorous validations in real and simulated conditions
- Collaborate with engineers to integrate models into CI/CD pipelines
Work Experience
- 4 - 8 years
Education
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- PyTorch
- Spark
- Databricks
Benefits
Startup Environment
- Unique opportunity to shape the future of autonomous systems
- Inspiring work environment
Other Benefits
- Brilliant minds working together
Flexible Working
- Flexible working hours
Learning & Development
- Excellent professional development opportunities
Not a perfect match?
- Airbus Defence and Space GmbHFull-timeOn-siteExperiencedStuttgart, Backnang
- STIHL
Abschlussarbeit Datengetriebene Analyse und KI-gestützte Bewertung von Prüfstands-Messdaten(m/w/x)
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Praktikum Embedded Software & Machine Learning(m/w/x)
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Machine Learning & Data Engineer – AI for Autonomous Systems(m/w/x)
Developing ML models for computer vision and sensor fusion, optimizing data pipelines for multimodal sensor data. Master's/PhD in CS/Data Science and proven deep learning experience required. Flexible working hours.
Requirements
- Master's degree or PhD in Computer Science, Data Science, or related field
- Proven experience in developing deep learning models and data engineering
- Excellent programming skills in Python and SQL
- Proficiency with ML frameworks and data tools
- Proactive, solution-oriented work ethic
- Ability to thrive in an agile, interdisciplinary team
- Fluency in German and English
Tasks
- Design and implement machine learning models
- Train state-of-the-art models in computer vision and sensor fusion
- Build and maintain scalable ETL/ELT data pipelines
- Process multimodal sensor data
- Optimize the central data platform for availability and quality
- Continuously improve model performance
- Conduct rigorous validations in real and simulated conditions
- Collaborate with engineers to integrate models into CI/CD pipelines
Work Experience
- 4 - 8 years
Education
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- PyTorch
- Spark
- Databricks
Benefits
Startup Environment
- Unique opportunity to shape the future of autonomous systems
- Inspiring work environment
Other Benefits
- Brilliant minds working together
Flexible Working
- Flexible working hours
Learning & Development
- Excellent professional development opportunities
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Not a perfect match?
- Airbus Defence and Space GmbH
Full-Stack Software Engineer – Entwicklung missionskritischer Anwendungen(m/w/x)
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Full-timeInternshipOn-siteWaiblingenfrom 1,000 / month - Airbus Defence and Space GmbH
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Full-timeOn-siteExperiencedStuttgart, Backnang - STIHL
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Full-timeInternshipOn-siteWaiblingenfrom 1,952 / month - STIHL
Praktikum Embedded Software & Machine Learning(m/w/x)
Full-timeInternshipOn-siteWaiblingenfrom 1,952 / month