Senior Python Developer - (Vision AI/ML)

Key Responsibilities
* Design, develop, test, and validate industrial machine vision systems.
* Select and configure industrial cameras, lenses, and lighting based on inspection requirements.
* Develop Python applications for camera control, image acquisition, and image processing.
* Build vision-processing pipelines using Python, OpenCV, and NumPy.
* Integrate industrial cameras and fixed barcode/QR readers with edge-computing devices.
* Work with sensors, PLCs, digital I/O, and camera triggering mechanisms.
* Implement QR code, barcode, and DataMatrix recognition solutions.
* Handle image-processing challenges such as reflections, motion blur, varying lighting, and changing object positions.
* Integrate vision systems using TCP/IP and other industrial communication protocols.
* Develop tools for vision-system setup, testing, commissioning, and validation.
* Support onsite commissioning and troubleshooting of production-line vision systems.
* Work with backend/cloud teams to integrate validated vision data with wider platforms.
Required Skills
* 3–7+ years of relevant experience in Machine Vision, Computer Vision, Automation, Robotics, or Industrial Image Processing.
* Strong Python programming skills.
* Hands-on experience with OpenCV and NumPy.
* Good understanding of industrial cameras, lenses, optics, lighting, and image acquisition.
* Experience with QR code, barcode, and DataMatrix recognition.
* Experience with image processing techniques such as image segmentation, thresholding, contour detection, and geometric analysis.
* Experience with TCP/IP, REST APIs, JSON, and camera SDKs/APIs.
* Knowledge of industrial camera technologies such as GigE Vision, USB3 Vision, or GenICam.
* Experience with industrial integration such as PLC, digital I/O, sensors, or hardware triggering.
* Good understanding of image quality, camera calibration, and vision-system validation.
Preferred Experience
Experience with one or more of the following will be an advantage:
* Basler, IDS, Cognex, Keyence, Datalogic, Allied Vision, or Teledyne/FLIR cameras/systems.
* NVIDIA Jetson or other Linux-based edge-computing platforms.
* Industrial automation, conveyor systems, production lines, or logistics automation.
* Multi-camera systems and camera synchronization.
* Modbus TCP, OPC UA, or EtherNet/IP.
* YOLO, PyTorch, TensorFlow, or other ML-based vision frameworks.

Work arrangement
No