Top Spezialist Applied AI (m/w/d)
Core
End-to-end implementation of prioritized AI use cases from data to operations, integrating AI services into existing platforms and defining reference architectures for scalable, compliant AI usage.
Role type
Applied AI Engineer (MLOps & Model Deployment)
Builds
Production AI models and MLOps pipelines for insurance product lifecycle
Domain
Insurance / Applied AI / MLOps
Deliverable
production ML models
Required skills
Python, Java, TensorFlow, PyTorch, MLOps, Containerization, Monitoring, Compliance/Governance
Preferred skills
Technology evaluation, Roadmap planning, Enablement & training
Technologies
CI/CD, Microservices, APIs
Responsibilities
Build and maintain MLOps pipelines (CI/CD, containerization, monitoring); Integrate AI services into existing platforms (microservices, APIs); Define standards for data flows, model deployment, and security; Plan enablement and training; Contribute to technology evaluation and roadmap.