Vision.AI | Computer Vision Engineer
2 weeks ago
Computer Vision Engineer
Vision.ai is a Bangalore-based technology company developing AI-driven solutions for Advanced Driver Assistance Systems (ADAS). We focus on computer vision and deep learning to create practical and cost-effective automotive technologies designed for diverse driving conditions.
We are looking for a Computer Vision Engineer to join our growing team. The ideal candidate will have a strong foundation in deep learning and image processing, with an eagerness to work on annotation tasks and model development for real-world applications.
- Model Development: Design and train deep learning models for tasks such as object detection, segmentation, and classification.
- Annotations and Data Management: Work with annotated datasets, perform quality checks, and refine labels for machine learning models.
- Edge Deployment: Optimize and deploy AI models on NVIDIA Jetson devices and other embedded platforms.
- Research and Prototyping: Explore new techniques in computer vision and apply them to real-world challenges.
- Collaboration: Work with cross-functional teams to integrate models into ADAS solutions.
- System Integration: Assist in deploying models with hardware systems, including cameras and sensors.
- Education: Bachelor’s or Master’s degree in Computer Science, AI, Electrical Engineering, or related fields.
- Experience:Strong background in computer vision and deep learning (e.g., PyTorch, OpenCV).
- Knowledge of data annotation tools and processes.
- Familiarity with image processing techniques and neural network architectures.
- Skills:Proficiency in Python.
- Familiarity with Linux and embedded systems.
- Ability to troubleshoot and debug complex systems.
Preferred:
- Hands-on experience with NVIDIA Jetson devices or similar platforms.
- Knowledge of robotics, autonomous systems, or ADAS technologies.
- Experience with TensorFlow or other frameworks.
- A collaborative environment to work on impactful AI projects.
- Opportunities to contribute to real-world ADAS and automotive solutions.
- Exposure to state-of-the-art tools and platforms.
- Growth opportunities in AI, edge computing, and embedded systems.
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