The role focuses on applying Advanced Analytics, Machine Learning, and Deep Tech to solve critical aerospace challenges ranging from generative design to predictive maintenance
Job Summary
The role focuses on applying Advanced Analytics, Machine Learning, and Deep Tech to solve critical aerospace challenges ranging from generative design to predictive maintenance.
Candidates must possess 8+ years of experience leading technical teams through the full AI project lifecycle with a proven track record in industrial deployment.
The position requires translating complex model outputs into clear insights for non-technical global stakeholders while ensuring compliance with aircraft-grade quality standards.
Matching Summary
The role focuses on applying Advanced Analytics, Machine Learning, and Deep Tech to solve critical aerospace challenges ranging from generative design to predictive maintenance.
Skills & Requirements
Must-have
8+ years data science experience
Python and PyTorch expertise
Machine Learning and Deep Learning
SQL and database management
Generative AI toolkits proficiency
Physics-Informed Neural Networks knowledge
Nice-to-have
Aviation dataset subject matter expertise
Cloud deployment and containerization
Agentic frameworks experience
Cross-functional team leadership
Fail-fast innovation mindset
Key Requirements
Bachelor's degree in quantitative field required
Master's or Ph.D. in quantitative field preferred
Expert-level coding in Python ecosystem
Experience with CNNs and Transformers architectures