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.
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
Apply Here