Data Science Engineer

Role overview

Join a research and development team building data-analysis tools for enterprise visual intelligence applications. The work centers on deep learning, image processing, computer vision, 3D geometry, and geomatics, with responsibility for developing methods that turn large and varied visual datasets into practical business intelligence.

Responsibilities

- Develop and advance data-analysis capabilities based on deep learning and computer-vision techniques. - Work on visual intelligence problems involving image processing, 3D geometry, and applied machine learning. - Contribute to computer-vision tasks such as semantic segmentation, object detection, and image classification. - Help create tools that can be deployed within a broader enterprise AI platform. - Collaborate within a data-science team specializing in deep learning, image analysis, and geomatics. - Operate effectively in a fast-moving environment and adapt as technical priorities evolve.

Requirements

- Engineering degree in computer science or a comparable combination of education and relevant experience. - Practical Python knowledge, including scientific libraries such as NumPy, Pandas, OpenCV, and scikit-learn. - Understanding of theoretical and applied computer vision and 3D geometry, including reconstruction, constrained optimization, morphology, or clustering. - Strong knowledge of deep learning and machine learning fundamentals. - Experience with PyTorch or an equivalent framework. - Comfort working in Unix/Linux and Git environments.

Nice to have

Experience with GIS or remote-sensing tools for georeferencing data, such as GDAL, QGIS, GeoPandas, or Rasterio, is highly valued.

Benefits and work setup

The role is based at a headquarters in Toulouse and includes a competitive compensation package and a stimulating technical working environment.