MLOps Engineer

• Build, operate, and improve ML/AI solutions in production
• Collaborate with data scientists and engineers in cross-functional product teams
• Contribute to continuous improvement of MLOps practices and platform
• Build and operate containerized services using orchestration platforms such as Kubernetes
• Troubleshoot production issues and improve reliability, performance, and cost-efficiency of ML/AI services
• Develop maintainable and well-tested Python code for production services, automation, and internal tooling
• Build and improve CI/CD pipelines for ML/AI services
• Implement data and model versioning, validation, and observability throughout the ML lifecycle
• Contribute to technical designs and architecture decisions
• Participate in code reviews
• Integrate automated security checks into delivery pipelines and follow secure development and operations practices

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

• Flexible work location when the job does not require office presence, including up to 20 days per year from anywhere within the EU
• Creative team events and regular success celebrations
• Anonymous, free professional psychological support via nilo
• Internal and external training opportunities and professional development support
• Fully funded Deutschlandticket
• Urban Sports Club M membership