Senior DevOps Engineer, AWS/MLOps, AI

Rogon Technologies GmbH

full-time

Posted on: 9/3/2025

Origin: • 🇩🇪 Germany

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Senior

AWSCloudDockerGrafanaKubernetesPrometheusPyTorchTensorflow

About the role

CUJU is on a mission to become the new digital standard in athlete identification and development in global sports.
As our Senior DevOps AWS/ MLOps Engineer , you will play a crucial role in operationalizing and scaling our AI and machine learning models.
Develop, deploy, and manage production-grade AI and machine learning pipelines, focusing particularly on Computer Vision models.
Build and maintain scalable, automated infrastructure and CI/CD pipelines to streamline model development, testing, deployment, and monitoring.
Implement and enhance monitoring tools to track model performance, detect drift, and optimize system efficiency and reliability.
Work closely with AI engineers, data scientists, and software engineers to ensure effective integration and deployment of machine learning solutions.
Establish and enforce best practices in ML Ops, including version control, reproducibility, security, and performance optimization.

5+ years of experience in ML Ops/DevOps, or similar roles, specifically supporting AI/ML initiatives.
Strong experience with machine learning frameworks such as PyTorch or TensorFlow.
Expertise in containerization technologies (Docker, Kubernetes) and AWS cloud infrastructure.
Proven track record deploying and scaling ML models into production environments.
Proficiency in automation tools and CI/CD pipelines (e.g., GitLab CI, Bitbucket, GitHub Actions).
Experience with monitoring tools and logging frameworks for ML systems (e.g., Prometheus, Grafana, ELK stack).
Excellent communication skills in English and the ability to collaborate effectively within international, cross-functional teams.
Passion for technology, sports analytics, and creating impactful solutions in the sports-tech domain.