AI ML ADAS - Mid Level

As an AI job parser, I have extracted the Job Description as per your request: Role Overview: You will be responsible for ADAS AIML, Computer vision development, and Radar Algo development with a focus on Image processing, Computer Vision, and Machine/Deep Learning. Your role will involve deep knowledge and experience in areas such as Stereo Camera & Lidar 3D point cloud processing, 2D and 3D coordinate rotation and translation, Mono & Stereo Camera Calibration & Imaging, 3D reconstruction, depth imaging, and Simultaneous Localization & Mapping (SLAM-opt). Additionally, you will be building production-grade Deep learning and Neural Network models using Computer vision techniques while working on machine learning techniques and algorithms. Key Responsibilities: - Develop algorithms for ADAS AIML, Computer vision, and Radar Algo development - Implement Image processing, Computer Vision, and Machine/Deep Learning techniques - Work on Stereo Camera & Lidar 3D point cloud processing, camera calibrations, and 3D reconstruction - Build production-grade Deep learning and Neural Network models using Computer vision techniques - Utilize Deep Learning frameworks such as TensorFlow, PyTorch, or Caffe MxNet - Deploy Computer vision and machine learning algorithms on edge computing hardware - Perform sensor fusion of Camera, LIDAR, RADAR, GNSS, and perception systems - Demonstrate a strong mathematical background in algorithm development - Ability to perform complex engineering work with minimal guidance Qualifications Required: - Proficiency in Embedded C, C++, Python, or Matlab - Experience with Image Processing and computer vision libraries like OpenCV and MATLAB image processing and computer vision toolbox - Strong programming skills in Data structures, algorithms, and software development - Familiarity with Deep Learning frameworks such as TensorFlow, PyTorch, Caffe MxNet - Knowledge of Embedded OS, Linux, Open GL, Open CL - Hands-on experience in deploying Computer vision and machine learning algorithms on edge computing hardware - Understanding of sensor fusion and perception systems - Ability to work on mathematical concepts related to Kalman filters, clustering techniques, etc. As an AI job parser, I have extracted the Job Description as per your request: Role Overview: You will be responsible for ADAS AIML, Computer vision development, and Radar Algo development with a focus on Image processing, Computer Vision, and Machine/Deep Learning. Your role will involve deep knowledge and experience in areas such as Stereo Camera & Lidar 3D point cloud processing, 2D and 3D coordinate rotation and translation, Mono & Stereo Camera Calibration & Imaging, 3D reconstruction, depth imaging, and Simultaneous Localization & Mapping (SLAM-opt). Additionally, you will be building production-grade Deep learning and Neural Network models using Computer vision techniques while working on machine learning techniques and algorithms. Key Responsibilities: - Develop algorithms for ADAS AIML, Computer vision, and Radar Algo development - Implement Image processing, Computer Vision, and Machine/Deep Learning techniques - Work on Stereo Camera & Lidar 3D point cloud processing, camera calibrations, and 3D reconstruction - Build production-grade Deep learning and Neural Network models using Computer vision techniques - Utilize Deep Learning frameworks such as TensorFlow, PyTorch, or Caffe MxNet - Deploy Computer vision and machine learning algorithms on edge computing hardware - Perform sensor fusion of Camera, LIDAR, RADAR, GNSS, and perception systems - Demonstrate a strong mathematical background in algorithm development - Ability to perform complex engineering work with minimal guidance Qualifications Required: - Proficiency in Embedded C, C++, Python, or Matlab - Experience with Image Processing and computer vision libraries like OpenCV and MATLAB image processing and computer vision toolbox - Strong programming skills in Data structures, algorithms, and software development - Familiarity with Deep Learning frameworks such as TensorFlow, PyTorch, Caffe MxNet - Knowledge of Embedded OS, Linux, Open GL, Open CL - Hands-on experience in deploying Computer vision and machine learning algorithms on edge computing hardware - Understanding of sensor fusion and perception systems - Ability to work on mathematical concepts related to Kalman filters, clustering techniques, etc.