Job
In this role, you will develop ML training and integration infrastructure for autonomous systems, optimize pipelines, and foster collaboration between ML and DevOps teams in multi-cloud environments.
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Your role in the team
- As a (Senior) MLOps Engineer (m/f/d), you will play a key role in shaping our ML training and integration infrastructure.
- You enable AI training at massive scale and prepare our systems for extreme operating conditions.
- In this role, you bridge the gap between DevOps and Machine Learning Engineering, as well as areas such as Data and Simulation.
- You support the Machine Learning team in integrating our training processes and the resulting models into software- and hardware-in-the-loop environments, ensuring full reproducibility, scalability, and a seamless developer experience at all times.
- You ensure that ML models become deployable building blocks for autonomous UAVs across all domains, from perception to decision-making.
- End-to-end ML integration: Whether developed in-house or sourced from open source, you work with the team to establish consistent processes for adopting and evaluating models and integrating them into the end-to-end autonomy stack.
- Platform development: You actively shape our MLOps platform and build on existing components such as Kubernetes, MLflow, and GitLab.
- You develop pipelines for training, evaluation, and deployment to run reliably both in multi-cloud environments and on our internal, isolated cluster.
- Ensure reproducibility and traceability throughout the entire model lifecycle, from data and model versioning to experiment tracking and the Model Registry.
- Evaluation and testing: You work with other teams, such as DevOps and Simulation, to develop environments in which model quality can be measured systematically and comparably.
- Optimization for target hardware: You support the setup of pipelines for model optimization and improved inference performance.
- Bridge between teams: You work closely with ML developers, software and systems engineering, and infrastructure operations, bringing the “ML in production” perspective to every team.
Our expectations of you
Education
- Completed degree in a STEM field, e.g. computer science, mathematics, electrical engineering, aerospace engineering, or artificial intelligence.
Qualifications
- You are confident working at the intersection of Machine Learning and DevOps, with a clear focus on the ML side.
- Strong understanding of ML: You know how to train, evaluate, and improve models, and have hands-on experience with PyTorch and common formats such as ONNX.
- Very good knowledge of Python and a passion for clean, maintainable software; knowledge of C++ is desirable.
- Systems thinking: You think in terms of end-to-end solutions rather than individual components and maintain an overview even when models combine data from many sources.
- Team spirit and a passion for shaping things: You communicate clearly and are excited to help shape a platform that is still taking shape.
- Fluent in German and English.
Experience
- Professional experience in MLOps or ML engineering with models and platforms actively used in production systems.
- Experience with Kubernetes, CI/CD, and MLOps tools such as GitLab, Kubeflow, MLflow, KServe, and artifact registries.
- Experience in at least one of the following areas is desirable: model optimization for edge inference (e.g., TensorRT, quantization), hardware-in-the-loop environments, simulation environments and synthetic data, and distributed training on GPU clusters.
What we offer
- A unique opportunity to shape the future of autonomous systems at a world-leading aerospace company.
- An inspiring work environment that combines the innovative spirit of a start-up with the expertise and stability of an established corporation.
- A team of brilliant minds working together toward a bold vision for Europe’s technological sovereignty.
- An attractive salary, flexible working hours, and excellent opportunities for professional development within the Airbus Group.
- Hybrid working model (up to 40% remote work).
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Higher take-home pay
Topics you will work on
Job locations
About your employer
Airbus is the world's leading provider of air and space transportation, as well as related services.
- English
- Established Company
- Full Remote, Hybrid, Onsite
- Vehicle Manufacturing, Supplier · Industry, Production
Employer reviews
- Career growth
- 3.2
- Engineering
- 2.9
- Working conditions
- 4.0
- Team culture
- 3.5
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