Senior Engineer Machine Learning / AI (w/m/d)
Core
Design and implement 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
Deliverable
production ML models
Required skills
Machine Learning Engineering, Cloud Architecture (AWS), Containerization (Docker, Kubernetes), Infrastructure as Code, CI/CD pipelines, MLOps tooling (MLflow, Airflow), Mentoring
Preferred skills
PhD in relevant field, Project leadership experience
Technologies
AWS (S3, Step Functions, Lambda, SageMaker, Bedrock), Docker, Kubernetes, IaC, CI/CD, 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 and coach team members on cloud topics
Seniority
Senior, hands-on IC with project ownership
