Join Airbus India in Bangalore as an Airframe Data Scientist - Robust AI/ML on a permanent, full-time basis. In this role, you will develop and deploy advanced AI solutions—including surrogate models, hybrid physics-data modeling, and computer vision—to augment and accelerate structural engineering for airframe applications.
Requirements
Completed Bachelor's or Master's degree in Aerospace, Mechanical, Thermal, or Data Science related streams.
Minimum of 5+ years of Data Science related experience.
Mandatory programming and framework proficiency in Python, Julia, C#, JavaScript, Scikit-Learn, Keras, Tensorflow, Pytorch, Langchain, and FEniCS.
Strong background in Machine Learning, Deep Learning, Computer Vision, NLP, and VVUQ for AI/ML models.
Preferred but not mandatory: basic understanding of Structural Engineering, Finite Element Analysis (FEA), and Aerospace/Aviation.
Skills & Responsibilities
Machine learning and deep learning: Develop and deploy code for predictive modeling and advanced data-driven solutions.
Surrogate and hybrid modelling: Build models combining physics and data to accelerate structural simulations.
Computer vision and NLP: Apply computer vision for automated CAD/mesh quality inspection and leverage generative AI and knowledge graphs for unstructured legacy documents.
VVUQ: Ensure rigorous Verification, Validation, and Uncertainty Quantification of deployed AI/ML models within the airframe perimeter.
Potential transition routes: People from Software Engineering, Machine Learning Engineering, or Applied Physics roles may bring strong programming and modeling skills, alongside meeting technical data science requirements.
Job description
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.
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.
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
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