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Join a forward-thinking AgriTech startup dedicated to reshaping the future of agriculture through innovative software solutions. You'll play a pivotal role in developing the LAYERS platform, leveraging your expertise in Python and cloud technologies to enhance agricultural data analytics. Collaborate with a diverse team of experts, embrace agile methodologies, and contribute to impactful projects that help optimize land efficiency and reduce environmental impact. This is an exciting opportunity to be part of a mission-driven company that values teamwork, passion, 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 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 the HEMAV family currently composed of around 40 persons with offices in Spain, Brazil, Peru, and the USA. We have around 50 regional partners distributed across more than 17 countries in Europe, America, and Africa. Over 5,000 users access the platform, covering 6 million Hectares.
HEMAV values are:
Our software, LAYERS, generates key yield forecasting data and offers analytics to the agricultural sector, impacting treatment efficiency, yield estimations, and quality estimates for various crops. It addresses major challenges such as crop management, production yield and logistics, economical yield, and climate change risk assessment, helping to minimize risks through continuous monitoring and predictions.
Our slogan is: Reshaping the future by increasing land efficiency.
The LAYERS Product Team comprises 13 members in four squads: DevOps, BackEnd, UX/UI, and Data Intelligence. We operate on three to four-week sprints with demos for all team members.
What is your mission in HEMAV?
The main goal of this position is to play a key role in developing software, models, repositories, and improving Data infrastructure, models, and LAYERS product development. You will collaborate with data scientists, agronomists, analysts, and other experts to design and implement models that will transform the experience of LAYERS users.
This role involves software development, spatio-temporal statistics, agronomical knowledge, and AI applications within LAYERS, requiring convergence of statistics, mathematics, geographical information, computer vision, and other disciplines.
Additionally, you will work on enhancing the robustness and scalability of LAYERS.
Specific Tasks
Responsibilities and Functions
Evaluation Criteria
Location
Approximately 3 hours from BCN (Spain) timezone. We support asynchronous work but value teamwork and peer programming. If in BCN, you are welcome at the office.
Requirements
Technical Skills
Soft Skills
Benefits
Our hiring process includes an initial conversation, a technical discussion, a basic exercise, and onboarding.
Join HEMAV and be part of innovative solutions impacting agriculture worldwide. Apply now!