Das ist der Job
Key Responsibilities Architect and implement AI platform services on AWS, leveraging ECS/EKS, Lambda, and SageMaker.
Darum lohnt es sich
Build and maintain CI/CD pipelines with GitHub Actions, Jenkins, and Terraform for automated deployments. Design and optimize data ingestion, processing, and storage pipelines for large insurance datasets. Collaborate with data scientists to deploy machine learning models into production environments.
Ensure high availability, security, and compliance of cloud infrastructure. Requirements 3+ years of experience in cloud engineering with a focus on AI/ML workloads. Proficient in Python, Docker, Kubernetes, and Terraform. Hands‑on experience with AWS services such as SageMaker, Lambda, and S3.
Strong understanding of CI/CD best practices and automation tools. Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
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