Job Description
YOUR TASKS
- Develop and deploy vision-based perception algorithms for autonomous inspection robots using deep learning and machine vision techniques, including CNN- and ViT-based architectures.
- Design and implement supervised, self-supervised, and unsupervised learning methods for multi-modal data (RGB, LiDAR, thermal, etc.).
- Build and optimize models for:
- Object detection and tracking (2D & 3D)
- Anomaly detection
- LiDAR-based semantic segmentation and 3D point cloud understanding
- Optimize models for on-device inference (quantization, pruning, distillation) and deploy them on edge hardware (NVIDIA Jetson Xavier/Orin/Thor, etc.).
- Integrate perception pipelines into robotic systems via ROS1/ROS2 and collaborate closely with software and robotics teams.
- Support MLOps workflows, ensuring reproducible training, evaluation, and CI/CD for AI models.
- Support and maintain cloud-based AI pipeline...
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