MLOps Engineer (m/w/d)
Core
Design, operate, and evolve ML platforms on AWS and on-premise environments to support internal AI projects.
Role type
MLOps Engineer
Builds
ML platforms, CI/CD pipelines for model deployment, on-premise AI solutions
Domain
Insurance / Machine Learning Operations
Deliverable
production ML models
Required skills
Object-oriented programming, Agentic AI, Terraform/IaC, Kubernetes, Cloud provider experience (AWS/Azure/GCP), Data privacy and security fundamentals
Preferred skills
Experience with ML platform tools, stakeholder communication for technical alignment
Technologies
AWS SageMaker, Terraform, Kubernetes, CI/CD tools
Responsibilities
Develop and maintain ML platforms on AWS and on-premise; build and optimize CI/CD pipelines for automated model deployment; support data analytics teams on internal ML projects; collaborate with security and architecture teams for compliant operations; evaluate and deploy new ML/MLOps technologies
Seniority
Mid-level, hands-on IC
