About the role
Permanent role running ML and LLM systems in production: MLOps and LLMOps architecture, model management, monitoring, and the governance evidence that keeps them auditable.
Key responsibilities
- Operate and architect ML and LLM solutions in production
- Build MLOps / LLMOps architectures including CI/CD and model management
- Design cloud architectures (AWS / Azure / GCP) with containerisation and IaC (Terraform, Ansible)
- Embed information security into the AI context
- Own governance and quality management for ML and LLM models
- Automate and monitor production ML/LLM systems, including drift and cost
AI handles · You own
AI handles
Pipeline and IaC generation · Monitoring dashboards · Drift and anomaly detection · Documentation
You own
Production ownership · Model promotion decisions · Security posture · Governance evidence
Your profile
- Operation and architecture of ML / LLM solutions
- MLOps / LLMOps architecture incl. CI/CD and model management
- Cloud architecture (AWS / Azure / GCP), containerisation, IaC (Terraform, Ansible)
- Information security in the AI context
- Governance and quality management for ML / LLM models
- German C2 (technical discussion may be in English)
Qualifications
- Relevant professional experience in MLOps / LLMOps
- Degree in computer science, data science or equivalent practical experience
- Cloud certification welcome