Airbus SE is a European aerospace corporation. The company's primary business is the design and manufacturing of commercial aircraft but it also has separate defence and space and helicopter divisions.
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Background: Designing, optimizing, and validating robust airframe structures is a fundamental aspect of aviation that ensures aircraft safety and performance. The Advanced Capabilities cluster in Aerostructure Data Management team focuses on bridging traditional structural engineering with advanced digital technologies including artificial intelligence. By integrating physics-based modeling with cutting-edge data-driven approaches, the team aims to enhance the airframe lifecycle, streamline structural analysis, and extract actionable insights from historical and operational data.
The candidate will act as a Data Scientist / Machine Learning Engineer focusing on Airframe-related applications with the task to provide safe, robust, and balanced data-driven/hybrid design solutions. She/He will play a key role in developing and deploying advanced AI solutions that augment and accelerate structural engineering. Key activities include:
Key Skills
Good to have (not mandatory)
Preferred Language: Python, Julia, C#, JavaScript
Data Science Frameworks: Scikit-Learn, Keras, Tensorflow, Pytorch, Langchain, FEniCS etc.
Environments: AWS, GCP or similar platforms.
Completed Bachelors or Masters degree in Aerospace, Mechanical, Thermal or Data Science related streams with minimum of 5+ years of Data Science related experience..
Bangalore
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