Future. Discover. Together.
The "Explainable Artificial Intelligence" (XAI) group focuses on the development of powerful methods, and the analysis of aspects of interpretability and explainability in machine learning. A core research of the group is the intersection of explainability, fairness and robustness of machine learning models. We are seeking an experienced ML Ops Engineer and System Architect with expertise in building scalable systems. The ideal candidate will have experience in hosting and scaling large language models, both on cloud platforms and on-premise hardware. Become a part of our team and join us on our journey of research and innovation!
What you will do
Host and scale large language models in production environments Build and maintain web applications using microservice or monolithic architectures Configure servers and automate infrastructure with tools like Terraform, Kubernetes, Docker, or AWS Saddled in server configuration languages like Python, Go, Bash, etc. Develop backend services using Python or TypeScript Bonus: Collaborate with frontend developers using TypeScript
What you bring to the table
2-3 years of experience in end customer production environments, with a focus on MLOps and scalable architectures Completed university degree (Bachelor or Master) or comparable qualification Strong expertise in cloud platforms (AWS), infrastructure automation, and containerization Proven track record of hosting large models and scaling them for wide usage
What you can expect
The ability to work on exciting and highly relevant research topics in the domain of XAI, and to help us putting them into practice A highly motivated, international team and an excellent hardware and compute infrastructure Fascinating challenges in a scientific and entrepreneurial setting Attractive salary package according to TvöD with 30 vacation days, pension scheme (VBL), wealth creation benefits (VWL) Modern and excellently equipped workspace in a central location Great and cooperative working atmosphere in an international team Flexible working hours Opportunities to work from home Extensive training-, health- and sports offers Various employee discounts and discounted BVG ticket Offers for families (parent-child office, emergency care, leisure activities, etc.) The position is initially limited to 2 years. An extension is explicitly desired.
The weekly working time is 39 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI
Requisition Number: 76438 Application Deadline: 11/13/2024