Descripción
Technology is changing what good care can look like. Used well, technology can help care professionals identify risks earlier, respond faster and provide care that is better adapted to each individual. It can improve collaboration between colleagues, create greater continuity in everyday work and give care teams more time to focus on the people who need them. Sensio is a leading European care technology company. Through our software platform Sensio 365, our nurse call solution, and our ‘hero-product’ the RoomMate AI multisensor, we help care providers deliver safer, more personalized and more efficient care. RoomMate is developed and manufactured in Norway, and it is probably the most widely deployed sensor of its kind across elderly care anywhere in the world. With the backing of Nordic Capital, a leading European healthcare and healthtech investor, we are investing actively in product development and expanding the impact of our technology across international markets. We’re looking for a Machine Learning Engineer This role sits at the core of Sensio’s sensor-driven care technology, and is placed within our new AI team. You will work with machine learning models that run on embedded devices, close to the hardware, in products that need to perform reliably in real care environments. Sensio’s technology uses advanced sensors, algorithms and embedded systems to support digital supervision and detect potentially dangerous situations. Sensio’s technology generates a growing range of real-time signals, such as falls, noise and activity in a resident’s room. Other products and integrations contribute alarm data, events data and data from care environments both inside and outside of Sensio’s own ecosystem. As a Machine Learning Engineer, you will work mainly on training and evaluating Computer vision models. The models will make the best possible use of the hardware available, balancing performance, precision, robustness, memory, power consumption and deployment constraint