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An innovative AgriTech startup is seeking a passionate Python Developer to join their dynamic team. This role focuses on developing cutting-edge software and models that enhance agricultural data analysis, utilizing AI and satellite technology. You will work closely with data scientists and agronomists to implement scalable solutions that address key challenges in crop management and yield forecasting. With a commitment to teamwork and innovation, this position offers the opportunity to contribute to meaningful projects that reshape the future of agriculture. Join a friendly and flexible work environment where your skills can make a real impact!
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 using 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, with around 50 regional partners across more than 17 countries. 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, estimate yields, and assess quality across various crops. It addresses main challenges like crop management, production yield and logistics, economic yield, and climate change risk assessment.
Our slogan is: 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, and repositories, and in improving data infrastructure, models, and product development. You will collaborate with data scientists, agronomists, analysts, and other experts to design and implement impactful models.
This involves integrating software development, spatio-temporal statistics, agronomical knowledge, and AI, with a focus on enhancing robustness and scalability of LAYERS.
Specific Tasks include:
Performance will be assessed based on team goals following OKR methodology and overall company objectives.
Location: within approximately 3 hours of BCN (Spain) time zone. We support remote work, but value teamwork and peer programming. BCN area residents are always welcome at the office.
We offer a young, friendly environment, flexible hours, 100% remote work, adaptable remuneration, and extra holidays.
Join HEMAV and help shape innovative solutions in AgriTech. Apply now!