Remote Sensing Expert

4 days ago

Pune, Maharashtra, India Semantic Technologies & Agritech Services Private Limited Full time ₹ 5,00,000 - ₹ 12,00,000 per year

Company Description

Semantic Technologies & Agritech Services Private Limited is an innovative company providing advanced technology solutions in agriculture. We leverage real-time big data analysis, digital technology, GIS mapping, as well as satellite and drone imagery, remote sensing, and weather data to develop innovative products. Our solutions include crop health monitoring, crop yield estimation, end-to-end digital Crop Cutting Experiments (CCEs), smart sampling, and crop loss assessment. Our team consists of young and talented professionals in agriculture, remote sensing, GIS, agri-insurance, and IT, aiming to contribute to a better tomorrow.

Role Description

This is a full-time on-site role located in Pune for a Remote Sensing and Python Expert. The role involves daily tasks such as analyzing satellite and drone imagery, processing spatial data, developing and implementing remote sensing algorithms, and utilizing Python for data analysis. The expert will collaborate with the team to integrate remote sensing technologies into agritech solutions, ensuring data accuracy and providing actionable insights for stakeholders.

Qualifications:

  • 1-2 years of experience
    in
    Remote Sensing and GIS technologies
  • Strong Python programming skills for data processing and analysis
  • Experience with satellite and drone imagery analysis
  • Knowledge of agricultural practices and crop monitoring techniques
  • Ability to develop and implement remote sensing algorithms
  • Excellent problem-solving and analytical skills
  • Strong communication and teamwork abilities
  • Relevant qualification in
    Remote Sensing, GIS, Computer Science, Agriculture, or related field
  • Knowledge of
    image processing,
    spectral indices (NDVI, EVI, SAVI), SAR, and multispectral/hyperspectral data analysis.
  • Hands-on experience in
    Remote Sensing
    and
    GIS
    using tools like
    QGIS, ArcGIS
    , and
    Google Earth
    Engine (GEE).
  • Experience with ML/DL frameworks:
    TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost will be preferred
    .

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