Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Backnang
- Working Model
- Onsite
Job Summary
In this role, you will develop advanced ML models, build scalable ETL pipelines for sensor data, and optimize the data warehouse to ensure data quality and security.
Job Technologies
Your role in the team
- As a (Senior) Machine Learning & Data Engineer, you are the architect of our systems' intelligence. You not only develop algorithms but also build the entire ecosystem – from robust data infrastructure to cutting-edge neural networks that enable our systems to understand and act in complex environments.
- Model development: Design, implementation, and training of state-of-the-art ML models, particularly in the areas of computer vision and sensor fusion.
- Data Infrastructure: Design and development of scalable ETL/ELT data pipelines for real-time processing of multimodal sensor data.
- Platform Management: Optimization of our central Data Lake/Warehouse to ensure data availability, quality, and security.
- MLOps & Integration: Strategic development of automated pipelines for seamless integration of models into our CI/CD systems.
- Additionally, for senior profiles: assumption of technical authority for the entire intelligence ecosystem.
- Mentoring team members and establishing best practices in software development.
- Translation of strategic goals into elegant and robust technical architectures.
This text has been machine translated. Show original
Our expectations of you
Education
- Education: Completed Master's degree or PhD in Computer Science, Data Science, or a related field.
Qualifications
- Senior level: Extensive proven experience in designing and operating large-scale, mission-critical ML systems.
- Tech Stack: Master level in Python and SQL. Deep knowledge of PyTorch as well as data tools like Spark or Databricks.
- Mindset: Proactive, solution-oriented approach with the aim of continuously raising the technical standards.
- Languages: Fluent in English and German.
Experience
- We are looking for talents at various career levels. The specific classification will be based on your individual experience.
- Professional-Level: Extensive experience (approximately 4-8 years) in the development of deep learning models and data engineering.
This text has been machine translated. Show original
What we offer
- The unique opportunity to shape the future of autonomous systems at a globally leading aerospace company.
- An inspiring work environment that combines the innovative spirit of a startup with the expertise of an established technology hub.
- A team of brilliant minds working together on a grand vision for Europe's technological sovereignty.
- An attractive salary, flexible working hours, and excellent opportunities for professional development within the Airbus Group.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
More net
Topics that you deal with on the job
Job Locations
This is your employer
Airbus Deutschland GmbH
Airbus is the world's leading provider of air and space transportation, as well as related services.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.3
Career Growth
3.2Engineering
2.8Workingconditions
4.0Culture
3.5
Senior Machine Learning & Data Engineer
- Location
- Backnang
- Working Model
- Onsite
- Diversity
- Open for all genders
