Tech Data Automation Specialist - Knowledge Systems & Machine Learning

: An opportunity has arisen in Airbus Customer Services, to join Technical Data Support & Services - India, which is in charge of developing, delivering and supporting on aircraft maintenance documentation, to enable the safe and efficient operations and maintenance by our customers (airlines, MRO, lessors). Technical Data is organized in 5 cross-natco Domains and 5 local lines and the position is opened in India local line - IISBD. The position is functionally aligned with SIDB Domain which offers a wide view on Maintenance Documentation: From the Design Office who is at the origin of the design and evolution of aircraft design, to the Authoring Domains in charge of documenting their impact in Technical Data products (manuals), and to the support to our customers who are operating and maintaining aircraft Systems. Delivering the complete documentation at aircraft entry into service and maintaining it during the complete aircraft life cycle is our main mission, and is part of the airworthiness

. Please visit us https://sites.google.com/airbus.com/sid/home to know more

. Additionally, an important mission is to prepare for the future (process automation, development of solution & technologies to bring significant efficiency) in the frame of Customer Services Ambition 2030 ('Efficient TechData cornerstone'). To augment and accelerate this mission, we are looking for a skilled and motivated Artificial Intelligence Engineer to join our team. This role offers a unique opportunity to work at the intersection of knowledge representation and machine learning. You will be responsible for developing our advanced, logically-driven databases while also contributing to the creation of end-to-end AI and Generative AI project pipelines. The ideal candidate is a hands-on developer with a passion for building intelligent systems that combine structured knowledge with modern predictive models.

Knowledge Systems & Database Development: • Design and implement advanced logical databases using frameworks like TypeDB, Neo4j, or Datalog. • Develop and maintain robust knowledge graph systems to host complex, interconnected data. • Build intuitive GUI frontends for our databases to enable effective data interaction and exploration. • Collaborate with data analysts to translate data