Airframe Data Scientist - Robust AI/ML

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.

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