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Computer Vision Intern
Praan
posted 5d ago
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Job Description
- Implement advanced 3D reconstruction pipelines for point clouds, following the latest research, using Python and C++
- Develop and deploy deep learning models, including transformer-based models, to enhance the functionality and performance of our products
- Optimize algorithms for low-latency and high-efficiency performance on embedded platforms and edge devices
- Design, develop, and train machine learning models for automatic clean-up and transformation of 3D point clouds into CAD files
- Write and maintain custom bash scripts to support automation and workflow optimization
- Work closely with mechanical design, manufacturing, embedded system and CFD teams to create integrated physical systems
- Work with deployment teams to field-test computer vision systems in diverse factory environments, refining performance and reliability
- Create custom tools and algorithms for seamless conversion of point cloud data into CAD formats with enhanced usability for design and manufacturing teams
- Implement real-time processing pipelines for point cloud and vision data to enable immediate insights and decision-making
- Prepare high quality documents, manuals, and test reports for project scaling
- Conduct rigorous integration testing to ensure seamless compatibility between hardware, software, and firmware components
Requirements
- BS/MS in Computer Science, Electrical Engineering, or a related engineering field
- Past experience in Computer Vision, Perception, and Mapping in indoor environments
- Strong proficiency in Python, with hands-on experience in training object detection and segmentation models using TensorFlow or PyTorch
- Experience with transformer architectures for tasks such as audio classification and video context extraction
- Past Experience in working with LiDARs, 3D point clouds, segmentation and clustering
- Experience in 3D reconstruction, Pointclouds/Image data to CAD
- Hands-on experience on embedded devices like Nvidia Jetson, Raspberry Pi, etc
- In-depth knowledge and hands-on experience with Linux environments
Employment Type: Full Time, Permanent
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