Engineer–Artificial Intelligence

Key Responsibilities

ADAS AIML, Computer vision development and Radar Algo development Experience in the areas of Computer Vision & Machine Learning

1. Deep knowledge & experience of :- 2 . Image processing, Computer Vision, Machine / Deep Learning-Cameras-Mono camera, stereo camera OR LIDAR
2. Stereo Camera & Lidar 3D point cloud processing, 2D and 3D coordinate rotation and translation
3. Mono & Stereo Camera Calibration & Imaging, Static, Online, Dynamic Camera calibrations 5. 3D reconstruction & depth imaging
4. Simultaneous Localization & Mapping SLAM-opt 7.Machine learning techniques and algorithms 8.Building production-grade Deep learning and Neural Network models using Computer vision techniques 9.Experience with imaging or optics systems RADAR
5. Strong understanding of concepts and background in development of topics like Kalman or extended Kalman filters, particle filter, clustering techniques etc. 11. performance measurement for algorithms like sensor fusion, object tracking etc.
6. Expertise in Radar and deep learning or machine learning techniques on embedded platform Technical Skills :
7. Embedded C, C++- / Python / Matlab 2.Image Processing and computer vision libraries like OpenCV and MATLAB image processing and computer vision toolbox 3.Programming with strong experience in Data structures, algorithms and software development
8. Either of the Deep Learning frameworks, such as TensorFlow, PyTorch , Caffe MxNet- Any 1
9. Common Data science tool kits
10. Embedded OS, Linux, Open GL, Open CL
11. Deploying Computer vision and machine learning algorithms on edge computing hardware
12. Sensor fusion of Camera , LIDAR, RADAR, GNSS etc and perception system
13. Strong mathematical background
14. Ability to perform complex engineering work with minimal guidance