We are seeking a talented and self-motivated R&D Python Developer with expertise in machine vision to join our remote team. This position is not for a data scientist, but rather a skilled professional with a deep understanding of Python and experience in implementing computer vision models like Yolo 5 (ONNX) and working with PyTorch. As a remote developer, you will be responsible for researching, finding relevant documentation, and implementing existing code or algorithms to meet specific customer requirements.
Responsibilities:
- Utilize your Python proficiency to modify existing code and develop new solutions to meet customer needs.
- Conduct thorough research, leveraging documentation and code repositories, to implement machine vision algorithms.
- Collaborate with the R&D team remotely to enhance the performance and functionality of our machine vision software.
- Label objects in images for machine learning training purposes.
- Work with hardware components such as machine vision cameras (e.g., FLIR Blackfly, Allied Vision, Lucid) and serial devices (USB to Relay).
- Ensure compatibility and integration with IoT Edge platforms, particularly Microsoft Azure.
- Develop Docker containers for efficient deployment and management of applications.
- Demonstrate a fair understanding of Linux and asynchronous coding.
Requirements:
- Solid experience in Python development for R&D purposes.
- Proficiency in implementing computer vision models like Yolo 5 (ONNX) and working with PyTorch.
- Familiarity with CV2, Pillow, NumPy, Flask, and asynchronous coding.
- Knowledge of machine vision cameras, such as FLIR Blackfly, Allied Vision, and Lucid.
- Experience with Flir Thermal cameras would be a plus.
- Understanding of IoT Edge platforms, particularly Microsoft Azure.
- Ability to work with Docker containers for application deployment.
- Basic knowledge of Linux systems.
- Strong problem-solving skills and the ability to adapt to new technologies and challenges.
- Excellent communication and collaboration skills for remote work.
Join our innovative remote team and contribute to the development of cutting-edge machine vision solutions. We offer a flexible and collaborative work environment with opportunities for professional growth.
To apply, please submit your resume, highlighting relevant experience and projects, to larissa...@systemone.com. Include examples of your work if available. Remote candidates are welcome. We look forward to hearing from you!