Junior Data Scientist

il y a 3 jours


Labège, France Ampstek Temps plein

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.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.1.Languages: Proficiency in French and English (written and oral).2.selected candidate has to work in client office 3 days a week


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    il y a 4 jours


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    il y a 6 jours


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    il y a 3 jours


    Labège, France Ampstek Temps plein

    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...

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    il y a 5 jours


    Labège, Occitanie, France Ampstek Temps plein

    Responsibilities1.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...


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    il y a 6 jours


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