We are a transverse team working with different core engineering verticals in Airbus. The USP of this team is working in a multi-functional environment providing digital solutions to engineering problems. The team is composed of people with Core Engineering domain knowledge complemented by software development skills. The team plays an enabler role in various digitization initiatives across Airbus utilizing the latest technologies and the domain knowledge they have.
Some examples of the digital solutions are Data driven designs of wiring, Automated routing electrical harnesses, Data Analytics based products aimed at reducing physical tests of material specimens. We are also involved in developing web-based solutions to encapsulate and automate different workflows such as flight test planning, business management etc. Some of the tools developed are used in the areas of Aircraft Safety analysis and Engineering Business Data monitoring etc.
We work in Agile/Scrum/Secure processes in developing state of the art digital products for the areas mentioned above.
The Role: What You ll Do
As an AI/ML Engineer, you will bridge the gap between data science and software engineering. You will own the lifecycle of machine learning models from conceptualization to production deployment and monitoring.
- Design Build: Develop, optimize, and deploy scalable ML/DL models (including computer vision, NLP, or LLMs).
- Scale Deploy: Architect robust ML pipelines (MLOps) to automate model training, testing, and deployment.
- Collaborate: Work closely with Data Scientists and Product Managers to integrate AI capabilities into our core platform.
- Optimize: Fine-tune models for latency, throughput, and resource utilization in a cloud or edge workplace.
- Innovate: Stay at the forefront of AI research and evaluate how recent technologies/methodologies can be applied to our product roadmap.