onsite
AI Platform Engineer - Guldberg GmbH
Devops Engineer
Lead the design, deployment, and scaling of AI solutions on cloud platforms, ensuring robust data pipelines, model serving, and continuous integration for high‑performance machine learning workloads.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end AI pipelines from data ingestion to model deployment on AWS.
- Implement scalable model serving solutions using Docker and Kubernetes.
- Integrate CI/CD workflows for automated testing, validation, and deployment of ML models.
- Collaborate with data scientists to optimize model performance and resource utilization.
- Monitor and troubleshoot production AI services, ensuring high availability and compliance.
Requirements
- Proven experience with Python and machine learning frameworks (TensorFlow, PyTorch).
- Strong knowledge of AWS services (SageMaker, ECS, EKS, Lambda).
- Hands‑on expertise in containerization (Docker) and orchestration (Kubernetes).
- Experience with CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawsdockerkubernetescicd