Indore, Madhya Pradesh, India
Information Technology
Full-Time
Clutterbot
Overview
Responsibilities
- Develop and deploy deep learning models for computer vision tasks such as semantic segmentation, object detection, and image classification.
- Fine-tune and optimize deep learning models to improve performance and efficiency.
- Develop and deploy sensor fusion algorithms by combining data from multiple sensors (e.g., RGB cameras, IR range sensors, and Depth ToF sensors) on edge devices such as Nvidia Jetson or Qualcomm RB5 kits.
- Create and refine calibration methods for accurate data alignment and synchronization across sensors.
- Collaborate with software engineers and product managers to ensure seamless integration and deployment of sensor fusion solutions in real-time systems.
- Stay up-to-date with the latest advancements in sensor fusion, machine learning, and edge computing :
- Bachelor's or Master's degree in Computer Science or related field.
- Strong programming skills in C++ and Python.
- 1-3 years of experience in training and deploying deep learning computer vision models such as semantic segmentation, object detection, and image classification on Nvidia or Qualcomm platform.
- Hands-on experience working with RGB cameras, IR range sensors, Depth ToF sensors, and edge devices like Nvidia or Qualcomm kits.
- Familiarity with frameworks and libraries such Gstreamer, OpenCV, TensorFlow, PyTorch.
- Experience in developing and deploying algorithms on embedded systems and optimizing for computational efficiency in edge environments.
- Ability to work collaboratively with cross-functional teams and handle multi-sensor data to create reliable and real-time :
- Competitive compensation package
- Team building activities
- Flexible work culture
- Company Sponsored Devices
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