Do you want to help drive innovation through cutting edge techniques with a team of highly skilled IT professionals?
We are dedicated to making an impact on how the agricultural sector is being managed worldwide through innovative data-driven solutions. We are looking for a talented and experienced Computer Vision Engineer to join our dynamic team and help us turn image technologies into improvements of animal health and welfare, sustainability and productivity.
We are looking for a Computer Vision Engineer who can build machine and deep learning models and work closely together with our development teams to develop cloud-based services which solve real business problems in our industry worldwide.
You will be a member of an international, skilled, highly motivated and self-driven team of data scientists and software developers spanning different educational backgrounds and competences. We do weekly sprint-like iterations, focusing our work on what adds value to our customers.
Working as a DevOps team meaning that we are responsible for developing, running and maintaining our digital services.
Our team is self-organized, cross-functional and gender diverse. We highly value continuous learning and provide an environment of highly competent colleagues, where anyone can find room for personal and professional growth.
We expect you to be passionate about developing products and services based on data insights and image analysis and not least to see these getting commercialized.
We value individuals who have an open and positive attitude towards colleagues, are ambitious about their work, and what we can achieve together as a team.

• Collect, validate and process image data from cameras and similar sensors
• Build and train machine learning models to solve specific challenges
• Implement, train machine learning algorithms and evaluate model performance
• Work with frontend developers to ensure that data is turned into insights for users in a way, so it is easy to understand
• Work with infrastructure and edge-computer developers to ensure a reliable image data stream from farms