At sewts we automate what others can’t. Gripping of deformable materials like textiles is a task most humans see as intuitive and simple. However, this is a complicated task for robots as they lack the detailed and contextual understanding of where and with what level of sensitivity to handle these textiles. As deep-tech enthusiasts, we teach robots human-like perception skills.
We are building a foundational technology stack called sewts.JUPITER. JUPITER uses genAI to simulate realistically the behavior of deformable & soft objects to create corresponding computer vision models and grabbing strategies. Based on our physical AI first time ever robots get enabled to handle soft & deformable materials. With over €10M in funding we will bring automation into all untapped industries, like cloth manufacturing, textiles handling, recycling & e-commerce.
You will make the difference! We have built a high-performance culture where efficient target achievement and consistent development is at the core of our company philosophy. We are working independently with ownership and a strong motivation to go the extra mile. We are setting our goals high, enjoying our daily challenges, while loving to share a laugh with our fellow team members. We are a diverse team, with many different nationalities, which values direct communication and open feedback.
You will be an integral part of our JUPITER Software Team, which is responsible for bringing a highly performant AI platform, specialised on deformable materials, to life. It runs in all our robotic products, which comprises a framework to train AI models, a middleware to run a configurable pipeline including AI models, computer vision algorithms on an edge device, and a user interface for configuration, calibration, and monitoring.
As our new MLOps Engineer (m/f/d), you are knowledgeable in designing ML Ops Pipelines, deep learning and computer vision. It is your mission to ensure reliable high-speed model serving, as well as establishing standards for our AI Developers in model packaging, monitoring and serving. As an ML Ops Engineer, you will be responsible for designing, building, and maintaining scalable and reliable infrastructure for deploying machine learning models into production.
Here is how you will create an impact:
We want to ensure a smooth recruitment process for you. If you have questions or would like to know more about this role, your Talent Partner, Fatima, is there to support you.
You may use the following channels to connect with her:
Email: fatima.sakhawat@sewts.de
WhatsApp: +49 1577 74 44 352