Related skills
python computer vision machine learning edge computing slam📋 Description
- Lead the development of AI solutions to detect unsafe driving in real time.
- Collaborate with cross-functional teams to deploy scalable AI in vehicles.
- Design and deploy driver monitoring algorithms for real-time insights.
- Work with very large datasets for training and evaluation.
- Deploy models to thousands of vehicles.
- Drive edge deployments across various hardware platforms.
🎯 Requirements
- BTech, MTech or PhD in CS/EE or related field.
- In-depth ML (deep learning and classic ML) and computer vision concepts.
- Python (required) and C++ (desired).
- 6.5+ years in CV/ML research or industry.
- Ability to turn abstract concepts into real products.
- Hands-on edge deployments on various HW platforms.
- Time-series data; Camera calibration, multi-view geometry, SLAM.
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