Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Ulm
- Working Model
- Onsite
Job Summary
In this role, you will develop AI training and inference pipelines, optimize deep learning models, design multi-agent systems, and implement efficient data processing pipelines.
Job Technologies
Your role in the team
- Planning and implementation of AI training and inference pipelines: You develop scalable pipeline architectures for training and deploying deep learning models in production, including automation, monitoring, and deployment in distributed infrastructure.
- Evaluation and Optimization of AI Approaches: You systematically assess various model architectures and training strategies, derive performance metrics, and optimize models for accuracy, latency, and resource efficiency for deployment in real-time systems.
- Participation in projects in the field of AI and Big Data: You are actively involved in cross-functional project teams, where you develop AI-based solutions for the fusion and analysis of large data sets from various sensors and sources — crucial for creating operational situation pictures.
- Design and implementation of multi-agent systems: You design and implement intelligent agent systems that autonomously or cooperatively handle complex tasks — from situation analysis and decision support to automated detection of anomalies and patterns in real-time.
- Design and documentation of software architectures: You are responsible for the architecture of AI-based software components, create clear architectural documentation, ensure integration into existing systems, and oversee the entire lifecycle from conception to production operation.
- Design and implementation of data processing pipelines: You develop robust and high-performance data processing pipelines for the preparation, transformation, and delivery of large data volumes — serving as the foundation for AI models and analytical evaluations in our ISR systems.
- Testing and validation of AI models, or the application of methods from the field of "explainable AI".
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Our expectations of you
Education
- Completed degree in Artificial Intelligence, Computer Science, or a related field.
Qualifications
- Strong background in Deep Learning and Data Science.
- Solid knowledge of Agentic AI.
- Proficient in Linux and basic knowledge of DevOps, CI/CD, containerization.
- Basic knowledge of microservice architectures.
- Fluent in German and English.
Experience
- Several years of experience with Python, PyTorch, and generative AI tools.
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What we offer
- Fair Compensation & Perks: Attractive remuneration and individual additional benefits, e.g., company pension schemes, mobility offers (e.g., bicycle leasing), or employee advantages with partner companies in accordance with our current policies.
- Time for you (and your loved ones): 30 days of annual leave according to collective agreement (35 hours/week); work-life balance (flexible working hours, mobile working, part-time, job sharing, sabbatical).
- Making Progress Easy: Excellent Training Opportunities and International, Company-Wide Development Perspectives.
- Well-being at the workplace: Company doctor; comprehensive health services (sports courses, prevention programs, and more), canteen and cafeteria, partly on-site kindergarten.
- Diversity connects: Working in a diverse environment with more than 140 nationalities, where exchange, support, and diversity are actively practiced.
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Benefits
Work-Life-Integration
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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
Employer reviews
by devworkplaces.com
Total
(1 Review)3.3
Career Growth
3.2Engineering
2.8Workingconditions
4.0Culture
3.5
Software developer for AI systems and agent-based AI
- Location
- Ulm
- Working Model
- Onsite
- Diversity
- Open for all genders
