Related skills
python deep learning computer vision machine learning edge computingπ Description
- Lead development of AI solutions for real-time driver safety.
- Collaborate with cross-functional teams to deploy AI in vehicles.
- Work with large datasets and scalable ML models.
- Build and optimize driver monitoring and assistance algorithms.
π― Requirements
- BTech/MTech/PhD in CS, EE or related field.
- In-depth ML and Computer Vision knowledge (Deep/Classic ML).
- Excellent Python (required) and C++ (desired) coding.
- 6.5+ years in CV/ML research or industry.
- Ability to translate abstract concepts into real solutions.
- Hands-on edge deployments on various HW platforms.
π Benefits
- Work with cutting-edge AI for fleet safety.
- Collaborative, cross-functional environment.
- Opportunity to deploy across thousands of vehicles.
- Inclusive, equal-opportunity culture.
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