AI Engineer
Tasks
- Analyze sensor data
- Deploy models on microcontrollers
- Design data processing architectures
- Generate real and synthetic datasets
- Implement classical algorithms
- Improve model robustness
- Manage assigned project scope
- Optimize deep learning models
- Perform data analysis for phenomena understanding
- Review scientific publications
- Support project technical follow up
- Test deep learning models
- Train deep learning models
- Use pre trained networks
Perks/Benefits
Skills/Tech-stack
Blender | Computer Vision | Data Engineering | Data Generation | Data Processing | Deep learning | Lidar | Machine Learning | Microcontroller Deployment | Model Optimization | Model Testing | Neural Networks | Pretrained models | PyTorch | Python | RGBD Processing | Sensor Data Processing | Sensor data | Synthetic Data Generation | Synthetic data | TensorFlow
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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