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Dimitra Technology | Junior Data Scientist For Agriculture | India | Bharat | BigDataKB.com | 6/30/2024

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Job Location: India

Job Detail:

Junior (Satellite/Drone) Data Scientist For AgricultureDIMITRA

We plan on becoming a leading provider of satellite/Drone data analytics and machine learning for precision agriculture. We collect data using various methods and devices, we integrate it and use machine learning to maximize the productivity of small/large farmers worldwide.

ESSENTIAL DUTIES:

  • Collect, process/transform satellite and drone datasets relevant to agriculture.
  • Apply statistical analytics and/or machine learning techniques to design, code, deploy and maintain predictive models to ultimately maximize crops yields and profits.
  • Create visualizations to derive insights, alerts, and recommendations for farmers.
  • Model relationships between geospatial data and measurable phenomenologies.

EDUCATION

BS or MS/PhD in science or engineering. Knowledge of satellite/drone data machine learning analytics , satellite image processing, GIS, LLMs or related disciplines is a big plus.

PREFERRED EXPERIENCE (ANY FEW ITEMS IS A BIG PLUS)

Programming, machine/deep learning algorithms and modeling with geospatial data 

  • Software development, algorithmic scripting and modeling 
  • Machine learning model development, deployment, maintenance for agricultural systems; crop phenology and agricultural life cycles, weather and impact on production

Satellite and/or drone imagery for agricultural applications, geospatial datasets 

  • Satellite remote-sensing data processing (particularly Landsat, Sentinel-1&2 and MODIS) 
  • Large and noisy geospatial datasets imagery and processing with GIS software
  • Drone data interpretation and predictions by using machine learning and CNNs

PREFERRED KNOWLEDGE (ANY FEW ITEMS IS A BIG PLUS) 

  • Google Earth Engine, experience developing Apps
  • Satellite remote sensing, working with large geospatial datasets, processing satellite data for agricultural and/or weather/climate modeling
  • Satellite Image processing algorithms, image sharpening, noise reduction, atmospheric corrections. GIS tools
  • Strong software development and/or algorithmic scripting skills, including with AWS
  • Machine Learning libraries and pipelines, Deep Learning, Convolutional Neural Networks, Computer Vision, Keras/TensorFlow, PyTorch 
  • Must have designed, trained, deployed and maintained models in production
  • Statistical and non-statistical methods of hyperspectral image analytics 

Apply Here

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