Overview:
We are seeking a skilled Computer Vision / Machine Learning Engineer to join our team in video analytics. The ideal candidate will have expertise in computer vision, machine learning, and robotics, with experience in 3D vision, multi-sensor integration (e.g., LiDAR, radar), deep learning optimization, and real-time deployment.
Key Responsibilities:
- Design and implement advanced computer vision algorithms for video analytics.
- Develop and optimize ML models for real-time object detection, classification, and tracking.
- Preprocess, augment, and calibrate multi-sensor data (e.g., video, LiDAR, radar) to enhance model performance.
- Apply MLOps practices like active learning to improve model accuracy and efficiency.
- Collaborate with cross-functional teams to meet project requirements.
- Document processes, experiments, and results for knowledge sharing and external presentations.
- Conduct experiments to validate new techniques and present findings.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience in computer vision, machine learning, and multi-sensor calibration, ideally in robotics with a focus on 3D vision.
- Proficiency in Python or C++, with experience in OpenCV, TensorFlow, or PyTorch.
- Knowledge of deep learning optimization and deployment tools (CUDA, TensorRT, DeepStream, Triton).
- Strong problem-solving skills and attention to detail.
