Machine Learning Engineer

Job 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. #J-18808-Ljbffr