Spécialiste apprentissage machine/Machine Learning Specialist - Device Analytics
Core
Design, train, and optimize deep neural networks for image-based classification, regression, detection, and re-identification tasks, focusing on real-time inference for intelligent cameras and on-device analytics.
Role type
Machine Learning Specialist (Computer Vision)
Builds
Intelligent cameras and on-device analytics solutions
Domain
Security technology / Computer Vision / Embedded Systems
Deliverable
production ML models
Required skills
Deep learning, Python, C++/C#/Java, PyTorch/TensorFlow/Keras, Git, Linux, Object detection, Image processing, Real-time inference optimization, Cloud infrastructure, Embedded systems
Preferred skills
Object tracking, Docker, Prototyping, Algorithm evaluation
Responsibilities
Design and optimize deep neural networks for image tasks, develop architectures for real-time inference on resource-constrained platforms, participate in the full model development lifecycle from data acquisition to deployment, develop tools for training and deploying models, evaluate and integrate new technologies, design and test proofs of concept.
Seniority
Mid-Senior, hands-on IC
