Backend Developer

Join Dronodat as a Backend Developer, where you will design and maintain robust backend systems that support our cutting-edge data analysis and machine learning applications.

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Key Responsibilities:

  • Develop visual anomalies detection algorithms using image reconstruction, object detection, and segmentation models tailored to high-resolution aerial imagery.
  • Train, test, and optimize models using large datasets, ensuring accuracy and efficiency.
  • Implement real-time processing techniques and experiment with edge deployment scenarios.
  • Collaborate with data annotators to refine datasets and improve model precision.
  • Write clean, maintainable code and assist in integrating machine learning models with the main software stack.
  • Continuously assess the latest machine learning research to enhance model performance.

Required Skills and Qualifications:

  • Strong programming skills in Python and a solid grasp of computer vision concepts.
  • Experience working with image reconstruction models and auto-encoders for visual anomalies detection.
  • Hands-on experience with convolutional neural networks (CNNs) such as U-Net, Mask R-CNN, YOLO, and GANs.
  • Familiarity with deep learning frameworks (e.g., PyTorch (preferred), TensorFlow, Keras)and image processing libraries (e.g., OpenCV, Pillow, Scikit-Image, NumPy).
  • Practical knowledge of dataset preprocessing, augmentation techniques, and model validation methods.
  • Analytical skills to interpret data and model output to drive improvements.
  • Eagerness to learn and apply the latest research in machine learning, computer vision, and anomalies detection.
  • Experience in deploying AI models on edge devices is a plus.

Benefits:

  • Direct involvement in a project with real-world impact and the potential for widespread adoption.
  • Access to cutting-edge technology and high-performance computing resources.
  • Collaborative environment with mentorship from leading experts in the machine learning and computer  vision field.
  • Potential for your work to contribute to industry-leading research and development.
  • Academic credit, if applicable, and a pathway to full-time employment post-internship.

Additional Notes:

  • Applicants must be prepared to sign a non-disclosure agreement (NDA) before the full details of the project can be disclosed.
  • Prior coursework or projects in computer vision or related fields will be viewed favorably.
  • Initiative and the ability to work autonomously, as well as part of a team, are essential.

Join us and contribute to groundbreaking advancements in operational safety technology through the power of machine learning and computer vision 

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