We are looking for a Computer Vision / ML Engineer to join the two-person core computer-vision team of an X-ray inspection proof of concept for wind turbine blades: six to eight months with a path to a product. Around the core team: a technical lead, a project manager, shared QA, and an NDT expert and a blade engineer part-time. The senior engineer is accountable for the method; you are responsible for everything that makes it measurable, reproducible and usable: the labelling protocol and the labelled data, the implementation and tests of the detection rules designed with the senior engineer and the NDT expert, batch processing, metrics, and the tool an expert uses to check each finding. The images are single stitched X-rays of whole blades, tens of thousands of pixels long. The first defect is a broken metal conductor. A second, a gap in an adhesive joint, is a feasibility question that may end in a documented no-go. Labelled data is scarce and you will help create it. No X-ray or inspection background is required. We teach the domain.



What we need is someone who has already learned an unfamiliar field on a project and delivered, who writes clean, testable Python, and who cares whether a number is true.

office remoteEuropean UnionGeorgiaKazakhstanUzbekistan
Requirements
- 3+ years in computer vision, image processing or applied ML with real images
- Python with NumPy, OpenCV, pandas; comfortable building small tools (Streamlit, Dash, Gradio, or a simple web stack)
- Experience labelling or organising labelling: writing a protocol, checking consistency between annotators, exporting to a training format
- Evaluation done properly: recall, precision, false positives per unit, splits that do not leak between crops of the same physical object
- Experience with large images: tiling and reassembly, with coordinates preserved across tiles, crops and the full image
- Unit and integration tests with pytest or equivalent; reproducible runs with versioned inputs, parameters

📌 Computer Vision (La Unión)
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