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Junior Data Scientist
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Responsibilities
1.Design & Development: Build and maintain scalable, reliable data pipelines for ingesting, processing, and transforming large volumes of complex data, particularly geospatial and 3D datasets.
2.Cloud Solutions: Work with cloud-native technologies to analyze massive datasets efficiently.
3.Machine Learning: Contribute to the continuous improvement of machine learning engineering practices.
4.Troubleshooting: Diagnose and resolve data-related issues promptly.
Profile & Key Skills
• Education: Master's degree (or equivalent) in programming, mathematics, and algorithms.
• Python Expertise: Strong proficiency in Python and scientific libraries (NumPy, Pandas, OpenCV, Scikit-Learn, etc.).
• Computer Vision & 3D: Solid theoretical and applied skills in computer vision and 3D geometry (3D reconstruction, constrained optimization, morphology, clustering, etc.).
• GIS & Remote Sensing: Knowledge of GIS/remote sensing tools for data georeferencing (GDAL, QGIS, geopandas, rasterio).
• Deep Learning: Experience with Deep Learning and Machine Learning, including computer vision tasks (semantic segmentation, object detection, image classification) and frameworks like PyTorch (or equivalent).
• System & Version Control: Familiarity with Unix/Linux environments and Git.
Manadatory conditions
1.Languages: Proficiency in French and English (written and oral).
2.selected candidate has to work in client office 3 days a week
