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An innovative AgriTech startup is seeking a skilled Python Developer to enhance its data-driven software solutions. This role involves collaborating with data scientists and agronomists to implement cutting-edge models that improve agricultural efficiency. The ideal candidate will have a strong background in Python development and experience with cloud technologies like AWS. Join a passionate team dedicated to reshaping the future of agriculture through technology, while enjoying a flexible work environment that values teamwork and innovation.
At HEMAV, we are an AgriTech StartUp founded in 2012, working passionately on Data Science in the agrifood industry with the purpose of generating more food with less environmental impact.
We use a unique approach based on Artificial Intelligence, satellite technology, and other data sources (drone, meteo, soil, etc.).
Users of our technology leverage their decision-making systems on information and knowledge generated on a field-by-field basis, with customized per-user models.
The HEMAV family is currently composed of around 40 persons with offices in Spain, Brazil, Peru, and the USA, and around 50 regional partners across more than 17 countries in Europe, America, and Africa. Over 5,000 users access the platform, covering 6 million Hectares.
HEMAV values include:
Our software, LAYERS, generates key yield forecasting data and analytics, helping clients improve treatment efficiency, yield estimations, and quality assessments across crops. It addresses major challenges like crop management, production yield, logistics, economic yield, and climate change risk assessment.
We aim to make LAYERS central to all yield-related decisions in the agribusiness value chain, under the slogan: Reshaping the future by increasing land efficiency.
The LAYERS Product Team consists of 13 members across four squads: DevOps, BackEnd, UX/UI, and Data Intelligence, working in three to four-week sprints with regular demos.
What is your mission in HEMAV?
Your main goal is to play a key role in developing software, models, repositories, and improving the Data infrastructure and LAYERS products. You will collaborate with data scientists, agronomists, analysts, and other experts to design and implement models that will impact current and future users.
This role involves software development, spatio-temporal statistics, agronomical knowledge, and AI, requiring interdisciplinary convergence.
Global improvements in robustness and scalability of LAYERS are also part of your responsibilities.
Specifically, you will:
How will this role be evaluated?
Location: within +-3 hours of BCN (Spain) time
We support asynchronous work but value teamwork and peer programming. If you're in BCN, you're always welcome at the office.
Technical Skills
Join a young, friendly, and flexible environment with options for remote work, flexible hours, extra holidays, and a remuneration system tailored to your needs.
Be part of HEMAV and help shape innovative solutions in AgriTech. Apply now!