Testia SAS - Ingénieur / Data Scientist – Détection de Défauts par Ultrasons - CDD - (H/F) – Toulouse
Core
Develop AI models to automatically detect and classify defects in ultrasonic inspection signals and images for aerospace structures.
Role type
Data Scientist specializing in ultrasonic defect detection
Builds
Production ML models for automated non-destructive testing (NDT)
Domain
Aerospace / Non-Destructive Testing (Ultrasonics)
Deliverable
production ML models
Required skills
Python, Pandas, NumPy, Machine Learning, Deep Learning, TensorFlow, PyTorch, Scikit-Learn
Preferred skills
Signal processing, Ultrasonic NDT, Generative Adversarial Networks (GANs), Data augmentation techniques
Responsibilities
Structure ultrasonic inspection data by extracting and organizing reports; Develop algorithms to generate synthetic data for rare defects; Train and evaluate ML/DL models for defect detection and classification.
Seniority
Mid-level IC
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