onsite
AI Platform Engineer - AERO HighProfessionals GmbH
Devops Engineer
Lead the design and deployment of scalable AI solutions using Python, Machine Learning, and AWS, while ensuring robust containerization with Docker and orchestration via Kubernetes. Drive automation through CI/CD pipelines to accelerate model delivery.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end AI pipelines from data ingestion to model deployment on AWS.
- Implement containerized services with Docker and orchestrate them using Kubernetes for high availability.
- Develop and maintain CI/CD workflows to automate testing, integration, and deployment of ML models.
- Collaborate with data scientists to translate research prototypes into production‑ready services.
- Monitor and optimize model performance, resource utilization, and cost on cloud infrastructure.
Requirements
- Proven experience with Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Hands‑on expertise in AWS services such as SageMaker, ECS/EKS, and S3.
- Strong knowledge of Docker, Kubernetes, and CI/CD tools (GitLab CI, Jenkins, ArgoCD).
- Solid understanding of data engineering concepts and experience with data pipelines.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningawsdockerkubernetescicd