Senior Engineer Machine Learning / AI (w/m/d)
Core
Designing and implementing cloud-based AI and Machine Learning solutions for core insurance processes like claims, pricing, and customer service.
Role type
Senior Machine Learning Engineer (Cloud & MLOps)
Builds
Scalable ML and Generative AI workloads for insurance core processes
Domain
Insurance / Machine Learning Engineering / Cloud Infrastructure
Deliverable
production ML models
Required skills
Machine Learning Engineering, Cloud Infrastructure (AWS), Containerization (Docker, Kubernetes), Infrastructure as Code, CI/CD pipelines, MLOps tooling (MLflow, Airflow), Generative AI, Agent Systems
Preferred skills
PhD in relevant field, Project leadership experience
Technologies
AWS (S3, Step Functions, Lambda, SageMaker, Bedrock), Docker, Kubernetes, IaC, MLflow, Airflow
Responsibilities
Conceive and implement cloud-based AI solutions for claims, pricing, and customer service; Deploy scalable ML and GenAI workloads; Select and introduce modern architectures for ML workflows; Define standards and best practices for ML teams; Mentor engineers on cloud topics and oversee end-to-end data operations
Seniority
Senior, hands-on IC with project ownership
