Airframe Data Scientist - Robust AI/ML
Core
Developing and deploying AI/ML solutions to augment structural engineering, specifically creating surrogate models, hybrid physics-data modeling, and automated CAD/mesh inspection for airframe design.
Role type
Senior Machine Learning Engineer (Scientific ML / Surrogate Modeling)
Builds
Surrogate models, hybrid physics-data simulations, automated CAD/mesh inspection tools, and knowledge graphs for engineering know-how.
Domain
Aerospace / Aviation / Structural Engineering
Deliverable
production ML models | product features
Required skills
Machine learning and Deep learning code development, Surrogate Modelling, Hybrid Modelling (physics + data), Scientific Machine Learning, Computer Vision, Natural Language Processing, Generative AI, Verification, Validation, and Uncertainty Quantification (VVUQ), Cloud platform development (AWS, GCP)
Preferred skills
Structural Engineering background, Finite Element Analysis (FEA), Large Language Model (LLM) development and monitoring, Software development lifecycle
Technologies
Python, Julia, C#, JavaScript, Scikit-Learn, Keras, Tensorflow, Pytorch, Langchain, FEniCS, AWS, GCP, Skywise
Responsibilities
Develop surrogate models to accelerate structural simulations, Implement hybrid modelling techniques, Apply LLMs to assist in Finite Element Analysis workflows, Utilize Computer Vision for automated CAD/mesh quality inspection, Create knowledge graphs from unstructured legacy documents, Ensure rigorous Verification, Validation, and Uncertainty Quantification (VVUQ) of AI/ML solutions
Seniority
Senior, hands-on IC
