GAF AG
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GAF AG

Data Scientist – Deep Learning with focus on remote sensing

  • Data Scientist
    Machine Learning
    NLP
    +3
    XXXX
  • Deep Learning
    TensorFlow
    Windows
    Python
    Keras
    PyTorch
    Scikit-learn
    Numpy
    Docker
    Machine Learning
    Training
    Data Science
    Linux
    Architecture
    Computer Science
    Image Processing
    +16
    XXXX
  • DE
    Munich, Bavaria, Germany
Interesse zeigen
  • Data Scientist
    Machine Learning
    NLP
    +3
    XXXX
  • Deep Learning
    TensorFlow
    Windows
    Python
    Keras
    PyTorch
    Scikit-learn
    Numpy
    Docker
    Machine Learning
    Training
    Data Science
    Linux
    Architecture
    Computer Science
    Image Processing
    +16
    XXXX
  • DE
    Munich, Bavaria, Germany

Über

GAF AG is an internationally successfully operating company for cross-platform EO-based geoinformation solutions and for the development of innovative GIS and database applications. In addition to the reception and distribution of geodata, GAF holds a leading position in the areas of data refinement and geoconsulting due to its many years of expertise. With an international and interdisciplinary team of experts, GAF sets standards for individual consulting as well as for state-of-the-art cloud- and AI-based solutions in the field of satellite-based monitoring of future- and sustainability-oriented application areas.

To further strengthen our team in the field of geodata analysis at our headquarters in Munich, we are looking for a

Data Scientist - Deep Learning with focus on remote sensing for the processing and analysis of geospatial data

The results of our work are used by authorities, companies and in science worldwide for further analysis and decision-making. Using our data analysis capabilities, we provide thematic and statistical information at various spatial reference levels locally and globally. Processing large volumes of satellite data with innovative analysis methods in cloud infrastructures has been indispensable for several years and enables, for example, the creation of land cover products on a continental scale as part of the EU‘s Copernicus program

Wünschenswerte Fähigkeiten

  • Deep Learning
  • TensorFlow
  • Windows
  • Python
  • Keras
  • PyTorch
  • Scikit-learn
  • Numpy
  • Docker
  • Machine Learning
  • Training
  • Data Science
  • Linux
  • Architecture
  • Computer Science
  • Image Processing
  • Munich, Bavaria, Germany

Berufserfahrung

  • Data Scientist
  • Machine Learning
  • NLP

Sprachkenntnisse

  • German
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