Acoustic Data Science Engineer (probes) / Ingénieur En Data Science Acoustique (probes)
GEHC
Valbonne, , France
Machine learning for physical systems
Ultrasound transducer design and testing
Matlab and python programming
This position offers a unique opportunity to utilize machine learning to make a large impact in a global ultrasound business
Job Summary
This position offers a unique opportunity to utilize machine learning to make a large impact in a global ultrasound business.
The role involves defining high-level project requirements, maintaining schedules, and building roadmaps while working with global stakeholders.
The successful candidate will contribute to improving efficiency in transducer design and manufacturing and perform predictive monitoring of deployed devices.
Matching Summary
This position offers a unique opportunity to utilize machine learning to make a large impact in a global ultrasound business.
Skills & Requirements
Must-have
Machine learning for physical systems
Ultrasound transducer design and testing
MATLAB and Python programming
Cloud deployment and data pipelines
Signal-processing model development
Predictive performance monitoring
Nice-to-have
Experience with deep learning networks
Multidisciplinary global team collaboration
Strong communication skills
Simulation-based training familiarity
Visualization tool development
Ability to work autonomously
Key Requirements
University degree in engineering, acoustics, physics, or applied mathematics
Masters or PhD preferred
Experience in ultrasound acoustics or measurements
Experience with supervised and unsupervised learning methods
Experience deploying ML models in cloud environments