onsite
AI Infrastructure Engineer - Wolfel Gruppe
Devops Engineer
Design, build, and maintain scalable AI/ML infrastructure and automated workflows across cloud and on‑premise environments, ensuring reliability, security, and performance for data science teams.
About the role
Key Responsibilities
- Architect and implement scalable AI/ML platforms on cloud (AWS) and on‑premise environments.
- Containerize machine‑learning workloads using Docker and orchestrate them with Kubernetes.
- Automate infrastructure provisioning and configuration management with Terraform and CI/CD pipelines.
- Develop and maintain Python‑based tooling for data pipeline automation and model deployment.
- Monitor system performance, enforce security best practices, and troubleshoot production issues.
Requirements
- Strong experience with cloud services (AWS) and on‑premise infrastructure.
- Proficiency in Python scripting and automation.
- Hands‑on knowledge of Docker, Kubernetes, and Terraform.
- Experience building CI/CD pipelines for ML workflows.
- Understanding of AI/ML lifecycle, model serving, and performance optimization.
Skills
pythonkubernetesdockerterraformawscicd