Machine Learning Engineer - Mid-Level
Tasks
- Apply signal preprocessing on SAR data
- Create physics simulations and address bias between simulated and real data
- Define objective functions and performance assessment plans
- Develop and deliver production quality code in Python
- Develop domain aware preprocessing for model generalization
- Present work at meetings and conferences
- Research and design deep neural network architectures
- Train neural networks for object detection and classification
Perks/Benefits
Skills/Tech-stack
Classification | Computer Vision | Data Preprocessing | Deep Neural Networks | Deep learning | Geospatial analysis | Image Processing | Machine Learning | Model generalization | Neural Networks | Object Detection | Performance Evaluation | Physics simulation | PyTorch | Python | SAR | Signal Processing | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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