Posted 23 days ago
  • Design and implementation of machine learning based applications and services.
  • Mastery of Python/Flask, relational databases (Azure Cosmosdb), blob storage, OIDC/Oauth2, version control and collaborative development.
  • Implement CI/CD pipelines using Azure Devops with a focus on testing, code quality, and security.
  • Production monitoring, alerting, and incident management.
  • Develop and operate horizontally scalable data pipelines for image recognition, natural language processing, data transformation, etc.
  • Participate in code review.
  • Collaborate with data scientists, data engineers, actuaries, and other experts.
  • Collaborate with members of the Munich Re global community, clients, and external partners.

Your profile

  • 2+ years of experience developing and deploying high availability web services.
  • Master's degree in Computer Science, Information Technology, Engineering, or related field is preferred but not required.
  • Insurance or financial services background is preferred.
  • Experience managing cloud infrastructure.
  • Experience with containerization (Kubernetes, Docker).
  • Familiarity with machine learning, natural language processing, computer vision, or medical informatics is preferred.
  • Familiarity with Apache Airflow or Spark is preferred.
  • Familiarity with Infrastructure-as-code (Terraform, Anisible, etc) is preferred.
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Software Engineer - North American Integrated Analytics Team