We are the central Advanced Analytics and Artificial Intelligence team in Airbus for commercial aircraft and we deliver business impact through AI products and services
across the entire value chain all the way from selling, designing, procuring, manufacturing to servicing aircraft. As such, we are responsible for solving all aspects and challenges of the machine learning (ML) product lifecycle, including problem exploration, solution development and deployment into cloud native environments at scale.
As part of our team you will work, learn and grow among an international and diverse group of top talent data scientists, software engineers, product managers and many more based across Europe and India. With truly vast amounts of data from all over the Airbus ecosystem at our disposal paired with an unparalleled product complexity, we are exposed to unique and exciting challenges, working at the forefront of AI in the aviation industry. !
Key responsibilities for this role include but are not limited to:
● Partner with business functions on missions to absorb domain expertise and priorities, build analytical insights and translate business challenges into AI related opportunities that you will tackle with our wider team
● Carry out hands-on, end-to-end AI / ML model development from early ideation, exploration and feasibility studies on to design, development, deployment as well as monitoring of scaled AI services
● Support our AI capability teams in defining and delivering on AI capability roadmaps (built around 5 technology pillars: computer vision, knowledge extraction, Time-series anomaly detection, decision making and hybrid modeling) that target reusable services and components which are consumed by a wide range of IT products
● Representing the central AI organization, evangelize and establish best practices and guidance on delivering and running AI solutions in the rapidly growing Airbus Lisbon office
● Engaging in the global AI and analytics community as well as growing the local community footprint, through holding project showcases, sharing expertise as well as best practices