Job Description:
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.
Implementing Hybrid Modelling (physics + data) and Scientific Machine Learning techniques.
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.)
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 LimitedEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
Structure Design & IntegrationBy 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 [email protected].
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.
Skills Required
- Bachelor's or Master's in Aerospace, Mechanical, Thermal, or Data Science related field
- Minimum 5+ years of data science-related experience
- Machine learning and deep learning code development and deployment experience
- Expertise in surrogate modelling, hybrid modelling (physics+data), and scientific machine learning
- Experience in computer vision, natural language processing, and generative AI for engineering use-cases
- Solid background in Verification, Validation, and Uncertainty Quantification (VVUQ) for AI/ML models
- Application development experience on AWS, GCP, Skywise or on-prem platforms
- Experience in data engineering and knowledge graph creation from unstructured legacy documents
- Familiarity or basic understanding of Structural Engineering, Finite Element Analysis (FEA), and aerospace concepts
- Preferred programming languages: Python, Julia, C#, JavaScript
- Experience with data science frameworks: Scikit-Learn, Keras, TensorFlow, PyTorch, Langchain, FEniCS
- Exposure to software development, testing, verification, and integration practices
- Strong leadership, project and stakeholder management, and communication skills
Airbus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbus and has not been reviewed or approved by Airbus.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive in several locations, including medical, dental, and vision options available from day one in the U.S. Access to life insurance, disability coverage, and employee assistance/wellbeing support adds breadth to the health offering.
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Retirement Support — Retirement support is framed as a meaningful part of the package through plans such as a 401(k) with company matching in the U.S. These programs strengthen long-term financial security beyond base wages.
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Leave & Time Off Breadth — Time-off provisions are described as generous in some settings, including vacation availability from day one and extended holiday coverage. Flexible working arrangements and hybrid options further increase the perceived value of time-related benefits.
Airbus Insights
What We Do
Airbus is a global leader in aeronautics, space and related services. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Airbus is an international pioneer in the aerospace industry and a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We believe that it’s not just what we make, but how we make it that counts; promoting responsible, sustainable and inclusive business practices and acting with integrity. Our people work with passion and determination to make the world a more connected, safer and smarter place, on the ground, in the sky and in space.
