DevOps/Cloud Engineer - künstliche Intelligenz (m/w/d)
Core
Designing, implementing, and operating highly automated Machine Learning environments and workflows for enterprise clients, covering the full lifecycle from concept to production.
Role type
Senior DevOps/MLOps Engineer (AI/ML)
Builds
Automated ML pipelines, model training/deployment/retraining workflows, and enterprise-grade data infrastructure.
Domain
Artificial Intelligence, Machine Learning, Cloud Infrastructure, Big Data
Deliverable
production ML models | infrastructure
Required skills
CI/CD pipeline design, Kubernetes orchestration, Cloud platform management, MLOps process implementation, Model monitoring and retraining automation, Security compliance (Identity Management, Network Isolation), Data pipeline optimization.
Preferred skills
Experience with Kafka, ELK stack, Enterprise security requirements, Hands-on Kubernetes/Cloud in regulated environments.
Technologies
Kubernetes, Kafka, ELK, Cloud platforms
Responsibilities
Evaluate latest ML trends and influence architecture decisions, Enable Data Scientists and Engineers by optimizing their toolchains, Manage ML models through training, deployment, and monitoring, Ensure continuous quality and performance improvement of applications.
Seniority
Senior, hands-on IC
