• Salary : Open Salary
• Duration of Employment : 3 months

• Sector of Vacancy :
  Engineer

Qualification/Work Experience :

• Advanced degree or equivalent experience in Earth Science, Remote Sensing, Computer Science, Statistics, or a related field.
  Experience building statistical, machine learning, and/or simulation models using remote sensing datasets.
  Strong Python programming skills, including scientific and machine learning libraries (NumPy, SciPy, SKLearn, TensorFlow, etc).
  Demonstrated ability to apply remote sensing imagery to large-scale monitoring and/or modeling in agriculture and/or natural ecosystems.
  Experience in using deep learning frameworks such as PyTorch, Keras, or TensorFlow.
  Excellent English language presentation and communication skills
  Desirable Skills: (bonus if you have them)
  Ability to apply standard software development processes and clearly document results.
  Familiarity with Google Earth Engine or other cloud-based satellite imagery analysis environment
  Envision Yourself Here

Job Description:

• What you will do:
  Design, implement, and deploy Machine Learning models for imagery time series analysis, classification, and segmentation. Applications are focused on agriculture, rangeland management, and land cover/land use mapping.
  Leverage remote sensing and other spatial datasets for model development and validation, including multispectral and SAR satellite imagery, weather and soil data, in-field measurements, and farm machinery datasets.
  Work with domain experts and product owners to design new products and derived data layers
  Collaborate with the engineering and product team to bring science prototypes to production for user testing and validation.
  Contribute across the full product life-cycle: conduct R&D on potential focus areas, develop proof of concept data products for new offerings, and iterate on existing models to improve core products.

Company : Nearshore Coders