MLOPs Platform Engineer (m/w/d)
- Published on
About the Role
The role involves the further development and operation of our MLOps platform, including cloud resources and local servers. Responsibilities include implementing monitoring solutions to watch over the performance and status of the deployed models, optimizing the ML infrastructure for scalability and cost efficiency, and developing CI/CD pipelines to automate the testing, integration, and deployment of ML models.
About the Candidate
Candidates should have a successfully completed degree in computer science or a comparable field, or a relevant IT technical apprenticeship with significant professional experience. Expertise in Docker/Kubernetes is essential, with experience in Red Hat Openshift a plus. Experience with MLOps paradigms and tools like Airflow, Kubeflow, and MLFlow, as well as practical experience with AI frameworks such as TensorFlow and PyTorch will be highly valued. Strong skills in Python, SQL, Bash, and other scripting languages necessary for work with AI and language models are a must.
About the Company
Bundesdruckerei GmbH is aiming to strengthen its digital future through enhanced technical capabilities, focusing on cutting-edge developments in the MLOps space.
Company Culture and Benefits
The company promotes a work environment that values self-motivation, multitasking capabilities, and teamwork. Excellent communication skills are also desirable to ensure the smooth collaboration among teams and stakeholders.
Employment Type
Specific employment type details were not provided in the original description, thus remain undefined.