AI ML ADAS- Senior

About SRM Tech<\/span><\/b>
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SRM Tech is a global IT services company\nspecializing in automotive technologies, digital transformation, product\nengineering, and supply chain optimization. We empower businesses across North America, Japan, Europe, and India with cutting\-edge solutions in technology\nconsulting, platform development, data analytics, AI/ML, cloud and\ninfrastructure, embedded software, and end\-to\-end product design to\nmanufacturing.<\/span>
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As a Great Place to Work\-certified company,\nwe are committed to fostering an environment where our employees can learn,\ngrow, and thrive. We believe that when our people are empowered and valued,\nthey drive innovation, take care of our customers, and contribute to our shared\nsuccess.<\/span>
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At SRM Tech, every contribution matters,\nand we are always looking for the right talent to join us on this journey!<\/span>
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ADAS AIML, Computer vision development\nand Radar Algo development<\/span><\/b>
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Experience in the areas of Computer Vision\n& Machine Learning<\/span>
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1. Deep knowledge & experience of :\-<\/span>
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2. Image processing, Computer Vision, Machine / Deep Learning\-Cameras\-Mono\ncamera, stereo camera<\/span> OR LIDAR<\/span>
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3. Stereo Camera & Lidar 3D point cloud\nprocessing, 2D and 3D coordinate rotation and translation<\/span>
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4. Mono & Stereo Camera Calibration<\/span> &\nImaging, Static, Online, Dynamic Camera calibrations<\/span>
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5. 3D reconstruction & depth imaging<\/span>
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6. Simultaneous Localization & Mapping\nSLAM\-opt<\/span>
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7.Machine learning techniques and\nalgorithms<\/span>
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8.Building production\-grade Deep learning\nand Neural Network models using Computer vision techniques<\/span>
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9.Experience with imaging or optics\nsystems.<\/span>
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<\/span>RADAR<\/span><\/span>
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10. Strong understanding of concepts and\nbackground in development of topics like Kalman or extended Kalman filters,\nparticle filter, clustering techniques etc.<\/span>
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11. performance measurement for algorithms\nlike sensor fusion, object tracking etc.<\/span>
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12. Expertise in Radar and deep learning or\nmachine learning techniques on embedded platform<\/span>
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Requirements<\/h3>

Proficiency in:\-<\/span>
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1.Embedded C, C++\- / <\/span>Python<\/span>/ Matlab<\/span>
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2.Image Processing and computer vision\nlibraries like OpenCV and MATLAB image processing and computer vision toolbox<\/span>
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3.Programming with strong experience in\nData structures, algorithms and software development<\/span>
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4. Either of the Deep Learning frameworks,\nsuch as TensorFlow,\nPyTorch<\/span>, Caffe MxNet\- Any 1<\/span>
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5. Common Data science tool kits<\/span>
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6. Embedded OS, Linux, <\/span>Open GL, Open CL<\/span><\/span>
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7. Deploying Computer vision and machine\nlearning algorithms on edge computing hardware<\/span>
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8. Sensor fusion of Camera<\/span>, LIDAR, RADAR,<\/span> GNSS etc and\nperception system<\/span>
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9. Strong mathematical background<\/span>
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10. Ability to perform complex engineering\nwork with minimal guidance<\/span>
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