Mid-Level MLOps Engineer (AI)

Location: Cologne, Germany; remote work is possible, including up to 20 days per year from anywhere within the EU.

Company

hirify.global is a European e-pharmacy focused on healthcare products and digital pharmacy services.

What you will do

• Build and operate containerized ML/AI services using Kubernetes and other orchestration platforms.
• Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services.
• Develop maintainable, well-tested Python code for production services, automation, and internal tooling.
• Build and improve CI/CD pipelines for testing, deployment, and model iteration.
• Implement data and model versioning, validation, monitoring, and observability across the ML lifecycle.
• Contribute to technical designs, architecture decisions, code reviews, and secure delivery practices.

Requirements

• Practical experience in MLOps, DevOps, platform engineering, or software engineering, including production ML/AI deployments.
• Strong Python software engineering skills, including automated testing, version control, and code review.
• Hands-on experience with Docker and Kubernetes or similar container orchestration platforms.
• Experience with CI/CD tools such as GitHub Actions or Jenkins.
• Knowledge of model packaging, versioning, validation, deployment, and monitoring; MLflow or Kubeflow experience is welcome.
• Understanding of software architecture and secure software development and delivery practices.

Culture & Benefits

• Flexible remote work, including up to 20 days per year from anywhere within the EU when office presence is not required.
• Collaborative cross-functional product teams involving data scientists and engineers.
• Team events and regular company celebrations.
• Free anonymous psychological support through nilo.
• Internal and external professional development opportunities.
• Deutschlandticket and Urban Sports Club membership.