onsite
AI Platform Engineer - Orizon GmbH, Unit Aviation
Devops Engineer
Design and maintain scalable AI infrastructure on AWS, leveraging Python, Kubernetes, and Terraform to deploy machine learning models and data pipelines with robust CI/CD workflows.
About the role
Key Responsibilities
- Architect, build, and operate AI/ML platforms on AWS, ensuring high availability and scalability.
- Develop and maintain containerized services using Docker and orchestrate them with Kubernetes.
- Implement IaC with Terraform to provision and manage cloud resources.
- Integrate CI/CD pipelines for automated testing, deployment, and monitoring of ML models.
- Collaborate with data scientists to optimize model training, inference, and data pipelines.
- Monitor system performance, troubleshoot issues, and continuously improve platform reliability.
Requirements
- Strong experience with Python and AWS services (SageMaker, ECS, EKS, Lambda).
- Proficiency in Kubernetes, Docker, and Terraform for infrastructure automation.
- Hands‑on knowledge of ML model deployment, versioning, and monitoring.
- Solid understanding of CI/CD practices and tools (Git, Jenkins, GitHub Actions).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonawsmachine learningkubernetesdockerterraformcicd