Airframe Data Scientist - Robust AI/ML

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Skills you'll use

What you'll do

• Job description: Airframe Data Scientist - Robust AI/ML
• Team: Structures – Aerostructure Data Management

Who can apply

• Machine learning and Deep learning code development and deployment
• Expertise in Surrogate Modelling, Hybrid Modelling (physics + data), and Scientific Machine Learning
• Experience in Computer Vision (e.g., for CAD/mesh inspection), Natural Language Processing & Generative AI (Knowledge Graph creation, Semantic reasoning, unstructured data extraction etc.)
• Solid background in Verification, Validation, and Uncertainty Quantification (VVUQ) for AI/ML models
• Application development in environments like AWS, GCP, Skywise and on-prem platforms.
• Data-driven decision science
• Good to have (not mandatory)
• Basic understanding of Structural Engineering, Finite Element Analysis (FEA), and Aerospace/Aviation
• Basic Knowledge of Generative Artificial Intelligence, LLMs for engineering applications, and state-of-the-art modeling techniques

About Airbus

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