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

3. Stereo Camera & Lidar 3D point cloud processing, 2D and 3D coordinate rotation and translation

4. Mono & Stereo Camera Calibration & Imaging, Static, Online, Dynamic Camera calibrations

5. 3D reconstruction & depth imaging

6. 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

10. 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.

12. Expertise in Radar and deep learning or machine learning techniques on embedded platform

Technical Skills:

1.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

4. Either of the Deep Learning frameworks, such as TensorFlow, PyTorch, Caffe MxNet- Any 1

5. Common Data science tool kits

6. Embedded OS, Linux,  Open GL, Open CL

7. Deploying Computer vision and machine learning algorithms on edge computing hardware

8. Sensor fusion of Camera, LIDAR, RADAR, GNSS etc and perception system

9. Strong mathematical background

10. Ability to perform complex engineering work with minimal guidance