Analyst Programmer

Posted 4 Days Ago
Chennai, Tamil Nadu, IND
In-Office
Entry level
Information Technology
The Role
Develop ADAS AI/ML solutions focused on computer vision and radar algorithms. Responsibilities include image processing, mono and stereo camera systems, LiDAR point-cloud processing, coordinate transformations, camera calibration, 3D reconstruction, depth imaging, SLAM, and production-grade deep learning models. The role also requires understanding radar, imaging and optics systems, neural networks, machine learning techniques, Kalman and particle filters, and clustering methods.
Summary Generated by Built In

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



Skills Required

  • Experience in computer vision and machine learning
  • Deep knowledge of image processing and computer vision
  • Experience with machine learning and deep learning techniques
  • Experience with mono cameras, stereo cameras, or LiDAR
  • Stereo camera and LiDAR 3D point-cloud processing
  • 2D and 3D coordinate rotation and translation
  • Mono and stereo camera calibration and imaging
  • Static, online, and dynamic camera calibration
  • 3D reconstruction and depth imaging
  • Simultaneous Localization and Mapping (SLAM)
  • Building production-grade deep learning and neural network models using computer vision
  • Experience with imaging or optics systems and radar
  • Understanding of Kalman filters, extended Kalman filters, particle filters, and clustering techniques
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The Company
HQ: Chennai
1,396 Employees
Year Founded: 1998

What We Do

SRM Technologies is a global IT services company specialising in automotive technologies, digital transformation and product engineering services. We provide technology consulting, platform development, data analytics, artificial intelligence, cloud enablement, digital infrastructure, quality assurance, embedded software and design to manufacturing product solutions to various industries and enterprises across the North America, Japan, Europe and India. At the heart of our organization are passionate employees who embody our core belief - 'ideas@work.' We firmly believe that ideas and innovation truly matter only when they create a meaningful impact on our customers' businesses and the lives of their end customers. Therefore, we prioritize the practical application of these ideas and their transformative impact through our talented and ever-growing workforce. ??? ???? ?? ? ????? ?????? ?? ??? ??? ?????, ? ????????????? ???????????? ???? ? ???? ??????? ???????? ???? ???? ???????. ??? ??? ????? ???????? ?? ??????? ???????, ????????? ?????????, ??????????, ??????????, ??? ?????

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