Senior Machine Learning Engineer (w/m/d)
Core
Designing and implementing cloud-based AI solutions (Machine Learning, Generative AI, Agent systems) for core insurance processes like claims, pricing, and customer service.
Role type
Senior Machine Learning Engineer (Generative AI & MLOps)
Builds
Scalable ML and GenAI workloads for insurance core processes
Domain
Insurance / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Machine Learning Engineering, Cloud Architecture (AWS), MLOps, Containerization (Docker, Kubernetes), Infrastructure as Code, CI/CD pipelines, Data Science tooling
Preferred skills
PhD in relevant field, Project leadership experience, Mentoring capabilities
Technologies
AWS (S3, Step Functions, Lambda, SageMaker, Bedrock), Airflow, MLflow, Docker, Kubernetes, CI/CD
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 engineers; Mentor team members on cloud topics and oversee end-to-end data-to-production lifecycle
Seniority
Senior, hands-on IC with project ownership
