Tech Stack
AzureCloudDockerKubernetesMicroservicesPythonPyTorchTensorflow
About the role
- Do you love not only designing sophisticated AI systems but also making them reliably productive in complex environments?
- Do you want to help companies in the DACH region use AI at scale, securely and effectively?
- Design and implement AI architectures in Azure, hybrid, and on‑prem environments
- Select, integrate and evaluate models, tools and frameworks (e.g., LLMs, RAG, embeddings, transformers)
- Build and evolve MLOps pipelines including CI/CD, deployment, monitoring and lifecycle management
- Operate container infrastructures (Docker, Kubernetes) and automate via Infrastructure-as-Code
- Integrate AI solutions into existing enterprise architectures (APIs, microservices, data platforms)
- Scale, performance and cost optimization for production AI systems
- Participate in pre-sales, workshops and customer presentations
- Ensure data protection, security, compliance and ethical standards in AI projects
- Rapid prototyping of new AI approaches and active contribution to our technology radar
Requirements
- Degree in Computer Science, Data Science, Mathematics or a related field
- Several years of experience in AI/ML projects and in architecture roles
- Knowledge of Azure (Azure ML, Azure Functions, Azure Kubernetes Service, etc.)
- Experience with hybrid / on‑prem solutions (private cloud, local infrastructure)
- Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
- Experience with LLMs, RAG, embeddings and prompt engineering
- Confident in using Docker, Kubernetes and infrastructure automation
- Experience with data pipelines, databases and big‑data technologies
- Routine in MLOps, model deployment, monitoring and versioning
- Very good German language skills (written and spoken) and residence in Germany
- Experience in distributed remote teams and working in a self‑organized way
- Technical freedom: from architectural decisions to innovation experiments
- High‑impact projects: direct influence on business processes in mid‑sized DACH companies
- Remote‑first: flexible work with occasional client appointments or team meetings
- Training & conferences: access to new technologies, budget for training and exchange
- Pragmatism & impact: we focus on quality rather than hype
- Opportunities for personal and professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI architectureMLOpsPythonML frameworksLLMsRAGembeddingstransformersdata pipelinesbig-data technologies
Soft skills
communicationself-organizationteam collaborationpresentation skills