flatexDEGIRO is looking for a Senior ML and AI DevOps Engineer (MLOps) to join their newly forming AI Hub. The successful candidate will build the deployment, monitoring, and operational foundation behind scalable AI tools and platforms, focusing on deployment, operationalization, CI/CD, observability, reliability, governance, and production operations for AI workloads.
Requirements
- 6+ years of experience in DevOps, platform engineering, infrastructure engineering, MLOps, or a similar technical role.
- Strong hands-on experience with Kubernetes, Helm, Docker, and containerized deployments.
- Solid experience building and managing CI/CD pipelines for production services.
- Experience with secure deployment strategies, release management, rollback mechanisms, and operational automation.
- Good understanding of observability, monitoring, telemetry, performance tracking, and production reliability.
- Familiarity with machine learning lifecycle principles, including model deployment, evaluation, monitoring, and controlled production handover.
- Experience operating in regulated, security-conscious, or enterprise IT environments.
- Strong understanding of governance, access control, compliance, and internal IT control requirements.
- Ability to work closely with security, infrastructure, architecture, and engineering teams.
Benefits
- Promise of a good work-life balance
- 30 days paid leave
- An enthusiastic and fun team to work with
- Personal and professional development with access to relevant courses
- Transport allowance or related benefits like a leased electric bike
- Pension plan
- A challenging job in an international and fast-growing company
- A competitive salary
- A lot of freedom executing your role and a chance to shape your own career
- The opportunity to participate in a new, enthusiastic team of likeminded professionals
