Job description: Airframe Data Scientist - Robust AI/ML
Team: Structures – Aerostructure Data Management
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.
Role:
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:
- Developing Surrogate Models to accelerate structural simulations.
- Exploring and applying Large Language Models (LLMs) to assist in Finite Element Analysis (FEA) workflows.
- Utilizing Computer Vision and AI techniques for automated CAD/mesh quality inspection.
- Engaging in data engineering and knowledge graph creation from unstructured legacy documents to preserve and utilize engineering know-how.
- Ensuring rigorous Verification, Validation, and Uncertainty Quantification (VVUQ) of AI/ML solutions deployed within the Airframe perimeter.
Technical Skills
Key Skills
- 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.)
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- 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
- Basic Knowledge on Large Language Model development, deployment, and monitoring
- Exposure to Software development, testing, verification, and integration
Preferred Language: Python, Julia, C#, JavaScript
Data Science Frameworks: Scikit-Learn, Keras, Tensorflow, Pytorch, Langchain, FEniCS etc.
Environments: AWS, GCP or similar platforms.
Soft Skills:
- Strong leadership, project management, and stakeholder management skills
- Excellent communication skills, with the ability to translate complex mathematical concepts into business value
- Strategic thinking with a focus on product scaling and industrialization
- Solutions-oriented mindset with an emphasis on user adoption and delivering business impact
- Teamwork and excellent communication skills
- Willingness to learn new skills, self-development and Problem-solving orientation
- Fail-fast mindset and Solutions approach
Qualification: Completed Bachelors or Masters degree in Aerospace, Mechanical, Thermal or Data Science related streams with minimum of 5+ years of Data Science related experience..
Job Location: Bangalore
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus India Private Limited
Employment Type:
Permanent -------
Experience Level:
Professional
Job Family:
Structure Design & Integration
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
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