Your tasks

Development and operation of platforms for machine learning and generative AI
Development and optimization of container-based architectures with Docker, Kubernetes and OpenShift
Provisioning, training, fine-tuning and deployment of modern AI models
Use of technologies such as Hugging Face, LangChain, vLLM and NVIDIA AI Enterprise
Automation of infrastructure and deployment processes with Python, Terraform and Ansible
Collaboration with development, architecture and specialist departments to implement innovative AI use cases.
Ensuring the stable and scalable operation of AI and ML applications in cloud environments

This is what you bring with you

Successfully completed studies in computer science, business informatics, mathematics, industrial engineering or a comparable qualification
Several years of experience in MLOps, AI Engineering, platform operations or cloud engineering
Excellent knowledge of Kubernetes, OpenShift and Docker
Experience with GenAI, LLM and machine learning technologies
Knowledge of Hugging Face, LangChain, vLLM or similar frameworks
Experience with AWS, Azure, Google Cloud or IBM Cloud
Excellent knowledge of Python and automation tools such as Terraform and Ansible
Safe handling of Linux, Git, GitLab and CI/CD environments
German language skills at C1 level and good English language skills
Willingness to undertake occasional business trips throughout Germany

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Responsibilities

Development and operation of platforms for machine learning and generative AI
Development and optimization of container-based architectures with Docker, Kubernetes and OpenShift
Provisioning, training, fine-tuning and deployment of modern AI models
Use of technologies such as Hugging Face, LangChain, vLLM and NVIDIA AI Enterprise
Automation of infrastructure and deployment processes with Python, Terraform and Ansible
Collaboration with development, architecture and specialist departments to implement innovative AI use cases.
Ensuring the stable and scalable operation of AI and ML applications in cloud environments

Successfully completed studies in computer science, business informatics, mathematics, industrial engineering or a comparable qualification
Several years of experience in MLOps, AI Engineering, platform operations or cloud engineering
Excellent knowledge of Kubernetes, OpenShift and Docker
Experience with GenAI, LLM and machine learning technologies
Knowledge of Hugging Face, LangChain, vLLM or similar frameworks
Experience with AWS, Azure, Google Cloud or IBM Cloud
Excellent knowledge of Python and automation tools such as Terraform and Ansible
Safe handling of Linux, Git, GitLab and CI/CD environments
German language skills at C1 level and good English language skills
Willingness to undertake occasional business trips throughout Germany