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. We have around 50 regional partners distributed in more than 17 countries across Europe, America, and Africa.
More than 5,000 users access the platform, which services 6 million hectares. Passion — We wake up every morning to change the world; Simplicity — Less is more, and technology should simplify our lives; Innovation — Creativity in facing challenges.
Our software, LAYERS, generates key yield forecasting data and provides analytics with a large direct impact, helping clients improve efficiency in treatments and generate estimations in yield and quality for different crops.
We recognize that producers, the agroindustry, insurance companies, and traders face challenges in crop management, production yield, logistics, economic yield, and climate change risk assessment. LAYERS helps minimize these risks through high-quality monitoring and predictions.
Our goal is to make LAYERS the core of all yield-related decisions in the agribusiness value chain, using data and statistics. The LAYERS Product Team consists of 13 members across four squads : DevOps, BackEnd, UX / UI, and Data Intelligence, working in sprints and sprint demos to keep the company updated.
LAYERS comprises a web app, mobile app, and API, forming the core of our customer ecosystem, providing data analysis and prognosis via dashboards.
* To develop software, models, and repositories, and improve data infrastructure, working closely with data scientists, agronomists, analysts, and other experts. Your work will involve designing, applying software development, spatio-temporal statistics, agronomy, and AI in LAYERS' solutions.
* Contributing to the design, planning, and implementation of core LAYERS components, maintaining and evolving the toolset, supporting clients, and improving LAYERS' robustness and scalability.
* Collaborate with experts across disciplines, participate in agile processes, support stakeholders, and work on tasks related to LAYERS development to maximize value for users.
* Requirements :
* Minimum 2 years of professional Python development in data environments, experience with Docker, AWS cloud services (Glue, Athena, S3, Step Functions), and nice-to-have skills like MLOps, Terraform, NoSQL, spatio-temporal data, GraphQL / SQL, and CI / CD. Soft skills include being a team player, autonomous, result- and quality-oriented, and familiar with agile methodologies.
* Benefits :
* Young, friendly environment, flexible hours, remote work, adaptable salary, extra holidays. Join HEMAV Technology to shape innovative solutions and make an impact as a Data Engineer.
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