Roles and Responsibilities:
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Working and hands-on experience on Machine Learning, Computer Vision Applications and optimization on edge hardware.
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Handle Object Detection, Classification and Tracking Models and Inference pipelines
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Modify and customize models to suit the companies needs.
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Work on Advanced Transformer Gen AI models with Multi-modal inputs.
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Develop POC's and work toward productizing them.
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Ability to work on their own with just few inputs from the mentors.
Must have skills:
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Structure from Motion (SfM), Object Detection, Object Tracking, State Estimation, ROS Framework (Mandatory)
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Working Knowledge of sensors : Monocular Camera, Stereo camera, LiDAR, Radar , IMU (Mandatory)
- Coding Skills : Python, C++14/17, ROS
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ML and Computer Vision Experience :
- ML Application experience : Pytorch, Tensorflow, JAX
- CV Applications : OpenCV
Good to have skills:
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Edge Deployment : Experience with Nvidia Jetson Device (TensorRT) , ONNX, ncnn
- Experience with GPU programming skills preferred (CUDA)
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Experience with NLP, large-language models , vision-language models or foundation models.
Basic Requirement (education & relevant experience):
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BTech Students in their 3rd/4th year or MTech Students in the final year with minimum internship period of 6 months
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Btech/MTech from Computer Science/Mechatronics/Robotics/Electronics.