Manglar

Python Developer (Data Science) in Manglar

Closed job - No longer receiving applicants

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Manglar is a highly specialized, ultra-high-resolution, AI-powered crop analytics platform. Our goal is to improve agricultural productivity and fight food insecurity worldwide. We not only address some of the challenges the world is facing, such as population growth, limited arable land, climate change, and labor shortages, but also help farmers maximize their yields and minimize their environmental footprint.

Our platform offers features to protect crops, use agrochemicals more efficiently, maximize land use, control productivity, and optimize field work. We provide insights on population, measure and project growth, evaluate threats, and assess terrain.

We use images that are 200 times better than the best commercial satellite and build robust, accurate, and detailed AI models. We take censuses of all plants and eliminate errors associated with sampling. We also closely monitor crops from germination to harvest and see the field as a human does.

Job functions

  • Desarrollar y mantener el motor de AI y analítica geo-espacial.
  • Desarrollar y mantener las librerías de analítica geo-espaciales.
  • Construir algoritmos y paquetes de procesamiento AI y analítica geo-espacial.
  • Probar el funcionamiento y la eficiencia de las soluciones desarrolladas.
  • Resolver problemas, bugs y actualizar versiones.
  • Trabajar con desarrolladores, analistas y científicos de datos para mejorar y optimizar las soluciones.
  • Escribir documentaciones técnicas de las soluciones creadas.

Qualifications and requirements

  • Grado en ingeniería de sistemas, software, ciencias de la computación o similar.
  • Experiencia comprobada como desarrollador Python.
  • Experiencia comprobada usando Python, Pandas y Numpy.
  • Experiencia y entrenamiento en Data Science.
  • Experiencia usando Visual Studio Code y Git.
  • Habilidad para analizar requerimientos complejos.
  • Buen nivel de lectura y escritura en inglés.
  • Atención a los detalles.
  • Capacidad de autogestión.
  • Experiencia trabajando en equipos remotos.
  • Habilidades de comunicación clara y directa.

Desirable skills

  • OSGeo
  • Skimage

Benefits

  • 100% Remote
  • Computer Provided
  • Life Insurance
  • Vacation on Birthday
  • 1DOC3
  • Headspace
  • Platzi
  • Spotify

Life insurance Manglar pays or copays life insurance for employees.
Paid sick days Sick leave is compensated (limits might apply).
Computer provided Manglar provides a computer for your work.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in Colombia.

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