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SRM Technologies
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AI ML ADAS - Mid Level

Job Expired: This job listing has expired.

AI ML ADAS - Mid Level

SRM Technologies

3 - 7 years

11 - 15 Lacs

Siddipet

Posted:8 months ago| Platform:

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Skills Required

Embedded C C++ Product engineering Linux Image processing Product design MATLAB Automotive Embedded software Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Great Place to Work-certified company,we are committed to fostering an environment where our employees can learn,grow, and thrive. We believe that when our people are empowered and valued,they drive innovation, take care of our customers, and contribute to our sharedsuccess.

At SRM Tech, every contribution matters,and we are always looking for the right talent to join us on this journey!

Job Description:

ADAS AIML, Computer vision developmentand Radar Algo development

Experience in the areas of Computer Vision& Machine Learning

1. Deep knowledge & experience of :-

2 . Image processing, Computer Vision, Machine / DeepLearning-Cameras-Mono camera, stereo camera OR LIDAR

3. Stereo Camera & Lidar 3D point cloudprocessing, 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 & MappingSLAM-opt

7.Machine learning techniques andalgorithms

8.Building production-grade Deep learningand Neural Network models using Computer vision techniques

9.Experience with imaging or opticssystems RADAR

10. Strong understanding of concepts andbackground in development of topics like Kalman or extended Kalman filters,particle filter, clustering techniques etc.

11. performance measurement for algorithmslike sensor fusion, object tracking etc.

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

Requirements / Proficiency in :

1. Embedded C, C++- / Python / Matlab

2.Image Processing and computer visionlibraries like OpenCV and MATLAB image processing and computer vision toolbox

3.Programming with strong experience inData 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 machinelearning algorithms on edge computing hardware

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

9. Strong mathematical background

10. Ability to perform complex engineeringwork with minimal guidance

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AI ML ADAS - Mid Level