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), MLOps, Containerization (Docker, Kubernetes), Infrastructure as Code (IaC), CI/CD, Workflow Orchestration (Airflow), Model Management (MLflow)
Preferred skills
Generative AI, Agent Systems, Data Science standards definition, Mentoring
Technologies
AWS (S3, Step Functions, Lambda, SageMaker, Bedrock), Docker, Kubernetes, 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
