IT System Specialist – AI Platform und MLOps Engineer (m/w/d)
Core
Managing the on-premise MLOps ecosystem for AI/ML applications, ensuring stable operations, scaling, and governance within a naval engineering environment.
Role type
Senior MLOps Engineer (AI Platform)
Builds
Automated deployment and scaling of AI/ML applications on on-premise cloud platforms
Domain
Defense / Naval Engineering / AI & Machine Learning
Deliverable
production ML models
Required skills
MLOps platform operations, CI/CD pipelines, Model governance, GPU resource scheduling, LLM evaluation and integration, Container registry management
Preferred skills
CKA, CKS, TensorFlow Developer Certificate
Technologies
GitLabCI, KubeFlow, MLFlow, ArgoCD, Cohere, VLLM, Harbor, DockerRegistry
Responsibilities
Manage MLOps ecosystem for automated deployment and scaling; Define Model Governance strategy; Plan and schedule GPU resources; Evaluate new AI technologies and create prototypes; Provide 1st and 2nd level support for incidents
Seniority
Senior, hands-on IC
