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 exploiting the full potential of this technology?

As a Senior AI Engineer (m/f/d), you will play a key role in the commissioning, scaling and deployment of machine learning models and solutions. Working closely with Data Scientists and Machine Learning Engineers, you will contribute your expertise to deliver our AI solutions.

In addition to our diverse benefits, you can expect an attractive starting salary of between €87,200/year and €105,900/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 the independent commissioning and further development of our ML-Ops platform.

• Your contribution includes the implementation and optimization of the technical infrastructure based on Kubernetes in the AWS Cloud.

• Your core tasks include ensuring the stability of the existing infrastructure, including monitoring Kubernetes and AWS services.

• You will perform proof-of-concepts to keep our ML-Ops platform state of the art.

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 environment, ideally internationally and with virtual teams, characterizes you.

• Your expertise includes machine learning architectures and technologies such as Kubernetes, Service Mesh, ArgoCD, Karpenter, Kubeflow, Docker, serverless computing and cloud offerings from leading providers.

• Experience with tools and frameworks such as Kubeflow, kubectl, Helm, Istio and Gitlab CI round off your profile.

• Programming skills in languages such as Python, Bash, Go 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.

Join 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.rziha@covestro.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.

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  

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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.