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AI Platform Engineer - Capgemini Deutschland GmbH
Devops Engineer
Design and maintain scalable AI platforms on AWS, leveraging Python, Kubernetes, and Docker to deploy machine learning models with robust CI/CD pipelines.
About the role
Key Responsibilities
- Architect, build, and operate end‑to‑end AI pipelines on AWS, ensuring high availability and performance.
- Containerize ML models using Docker, orchestrate with Kubernetes, and manage deployments with Helm.
- Implement IaC with Terraform to provision and version infrastructure resources.
- Integrate CI/CD workflows (GitHub Actions, Jenkins) for automated testing, model validation, and continuous delivery.
- Collaborate with data scientists to optimize model training, inference, and monitoring.
- Ensure security, compliance, and cost‑efficiency across the AI platform.
Requirements
- 3+ years of experience in AI/ML platform engineering or related roles.
- Proficient in Python and experience deploying ML models at scale.
- Hands‑on expertise with AWS services (SageMaker, ECS/EKS, S3, Lambda).
- Strong knowledge of containerization, Kubernetes, Docker, and CI/CD pipelines.
- Experience with IaC tools (Terraform) and cloud cost optimization.
Skills
pythonawsmachine learningkubernetesdockerterraformcicd