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AI Platform Engineer KI-Infrastruktur & MLOps - ACONEXT Engineering GmbH
Devops Engineer
Lead the design and maintenance of scalable AI infrastructure, building robust MLOps pipelines on Kubernetes and AWS, while ensuring seamless model deployment, monitoring, and continuous integration for high‑performance machine learning solutions.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end MLOps pipelines using Kubernetes, Docker, and CI/CD tools.
- Deploy, monitor, and optimize machine learning models on AWS infrastructure.
- Collaborate with data scientists to translate research prototypes into production‑ready services.
- Implement automated testing, versioning, and rollback strategies for model deployments.
- Ensure compliance with security, governance, and scalability best practices.
Requirements
- Proven experience with Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Hands‑on expertise in Kubernetes, Docker, and cloud services (AWS).
- Strong background in MLOps practices, CI/CD pipelines, and model monitoring.
- Excellent problem‑solving skills and ability to work cross‑functionally.
- Fluent in German and English, both written and spoken.
Skills
pythonmachine learningmlopskubernetesdockerawscicd