Industrial Computer Vision - Edge AI Engineer.
We usually respond within three days
The role
• Build, optimize, and deploy computer vision models for industrial inspection, tracking, or safety.
• Integrate with cameras/sensors and deploy to edge devices (e.g., NVIDIA Jetson) with containers.
• Optimize for real-time performance (ONNX/TensorRT/OpenVINO), reliability, and environmental variability.
• Collaborate with Controls/OT teams; integrate with PLC/SCADA/MES where needed.
• Establish data pipelines for annotation, retraining, and continuous improvement.
What you bring
• MSc/BSc in Computer Vision/Computer Science/Robotics or similar.
• 3+ years in CV/ML engineering; strong Python (and preferably C++) and OpenCV.
• Experience with PyTorch or TensorFlow, model optimization, and edge deployment.
• Familiarity with camera systems, calibration, image quality, and lighting constraints.
• Cloud, containers, and CI/CD for reproducible builds.
Nice to have
• Robotics/ROS, industrial protocols, safety standards, and MLOps for data refresh/retraining.
• Experience in manufacturing, automotive, or logistics environments.
- Department
- Information Technology
- Locations
- Sweden, Finland
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