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Computer Vision Expert

2 months ago

India Neoma Full time

Deep Learning Engineer (Computer Vision Focus)


Job Description:


We are seeking a skilled Deep Learning Engineer with a specialization in Computer Vision to join our dynamic team. The ideal candidate will have extensive experience in utilizing Computational Neural Networks (CNN) for various tasks, including but not limited to object detection using state-of-the-art models like YOLO. The role will involve both the development and deployment of models on edge devices, with a strong emphasis on optimizing performance and efficiency.


Key Responsibilities:


  • Utilize Computational Neural Networks (CNN) for deep learning tasks, particularly in the field of Computer Vision.
  • Implement and optimize object detection algorithms, with a focus on the YOLO model, to achieve high accuracy and real-time performance.
  • Develop and deploy models on edge devices, with a specific emphasis on Nvidia Jetson boards, ensuring compatibility and efficient resource utilization.
  • Contribute to facial recognition projects, leveraging hands-on experience in this area to develop robust and reliable solutions.
  • Proficiently code in Python and C programming languages to develop efficient and scalable deep learning solutions.
  • Demonstrate a basic understanding of Networking principles, with the ability to collaborate with network engineers as needed.
  • Possess knowledge in IoT protocols such as MQTT, enabling seamless integration with IoT devices and systems.


Qualifications:


  • Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferred.
  • Proven hands-on experience in utilizing Computational Neural Networks (CNN) for deep learning tasks.
  • Demonstrated expertise in object detection techniques, with practical experience deploying YOLO models.
  • Strong proficiency in Python and C programming languages, with the ability to write clean, efficient, and maintainable code.
  • Familiarity with Nvidia Jetson boards and experience in deploying models on edge devices is highly desirable.
  • Experience working on facial recognition projects will be a significant advantage.
  • Basic understanding of Networking concepts and protocols.
  • Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.