We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18.000 colleagues now and together we will make the world a brighter place. Do you want to be at the forefront of shaping the interaction between humans and AI and support interdisciplinary teams in realizing the full potential of this technology? As an AI Engineer (m/f/d) you will play a key role in the commissioning, scaling and deployment of machine learning models and solutions. In close cooperation with our Data Science team, you will contribute your expertise to optimize the entire life cycle. In addition to our diverse benefits, you can expect an attractive starting salary of between €75,700/year and €91,600/year plus a variable component for a full-time position. The starting salary depends on your qualifications and professional experience. Where your expertise is needed : You will be responsible for independently commissioning machine learning models and solutions. Your contribution will be to help optimize the entire life cycle of machine learning models and solutions. Ensuring that existing models are up to date, including monitoring model degradation and designing autonomous retraining mechanisms, is one of your core tasks. Manipulating and harmonizing data to accelerate the model development process. You will be responsible for helping to design an efficient machine learning and microservice architecture. What brings you to Covestro : A university degree (preferably Diploma, Master or PhD) in Computer Science, Software Engineering, Computational Engineering or related field and several years of experience in the Machine Learning Engineering environment, ideally internationally and with virtual teams, characterizes you. Your expertise includes machine learning architectures as well as technologies such as Kubernetes, Docker, serverless computing and cloud offerings from leading providers. Experience with tools and frameworks such as Kubeflow, Docker, Gitlab CI and edge computing round off your profile. Programming skills in languages such as Python, Bash etc. are among your strengths. You are characterized by an entrepreneurial mindset and the willingness to master a variety of challenges. As an open-minded team player with strong communication skills, you have an approachable personality. You enjoy working in a fluid, dynamic and fast-changing environment. Fluent written and spoken English and a willingness to travel internationally round off your profile. Become part of our innovative team and shape the future of machine learning at Covestro Apply today for this exciting challenge. For initial questions, please contact Chris Rziha (chris.rzihacovestro.com). Please do not use this email address to send your application or resume. To apply, please click on the “Apply” button. Applications sent by e-mail will not be considered. LI-Hybrid Perfection? Not required The requirements are not met 100%, but you are still interested in the position? Are you curious, courageous and colorful as we are? No problem We'll tackle this together - as a team With proper onboarding and tailored development opportunities. Apply now We look forward to receiving your application including your salary expectation and your notice period Become 1ofUs Anyone who wants to contribute to a better world with Covestro can also expect a lot. We want you to feel at home at Covestro. To feel you’re treated fairly and transparently. That means financial security, a healthy work-life balance and generous benefits. Specifically, it means for us: flexible working hours, the compatibility of family and work, active health promotion and the ability to convert part of your salary into long-term or retirement savings. And that's not all. Sounds exciting? Find out more about Covestro and our benefits here: https://www.career.covestro.de/de/about-covestro/covestro-as-an-employer/employee-benefits Contact Us www.covestro.com Covestro welcomes applications from all individuals, regardless of racial or ethnic origin, skin color, nationality, religion, philosophy, gender, age, physical characteristics, marital status, disability, appearance, sexual orientation and sexual identity. We are committed to treating all applicants fairly and avoiding discrimination.