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Machine Learning Engineer – MLOps Engineer
RockstarDevelopers GmbH. Develop production-grade data and ML pipelines .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing production-grade data and ML pipelines, automating data preparation, and integrating ML models into business applications. Proficient in CI/CD processes, Kubernetes, Docker, and Python, with a strong focus on operational security and data protection.
Highest-signal resume keywords
Machine Learning EngineeringCI/CD Pipeline DevelopmentPython DevelopmentKubernetes and DockerGerman Proficiency (C1 Level)
ATS Keywords
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Hard Skills
Machine LearningData Pipeline DevelopmentModel Training AutomationModel MonitoringAI Solutions DevelopmentAgile DevelopmentSoftware DesignSoftware ArchitectureML Models in ProductionData Protection Compliance
Tools & Technologies
KubernetesDockerPrometheusGrafanaKubeflowOpenShift AIJenkinsArgo CD
Certifications & Qualifications
DevOps CertificationKubernetes Certification
Industry Keywords
Social Security SectorSAFeOperational Security
Tech Stack
Tools & technologiesDockerGrafanaJenkinsKubernetesOpenShiftPrometheusPython
About the role
Key responsibilities & impact- Develop production-grade data and ML pipelines
- Automate data preparation and model training
- Build and operate model serving, including monitoring and alerting
- Integrate ML models into business applications
- Monitor ML models and detect model drift
- Further develop the technology stack and DevOps/MLOps processes
- Build AI solutions such as conversational systems, semantic search, RAG pipelines, and agents for public-sector clients
- Operate AI systems in production under stringent data protection and operational security requirements
Requirements
What you’ll need- At least 3 years of experience developing CI/CD pipelines
- At least 3 years of experience with Python development
- At least 3 years of experience with Kubernetes and Docker
- At least 3 years of professional experience as a Machine Learning Engineer
- At least 3 years of project experience in agile development teams
- German proficiency at C1 level or higher, both written and spoken, demonstrated by a language certificate or native-speaker status
- DevOps certification (preferred)
- Kubernetes certification (preferred)
- Knowledge of Prometheus and Grafana (preferred)
- Knowledge of software design and software architecture (preferred)
- Experience with Kubeflow or OpenShift AI (preferred)
- Hands-on experience with ML models in production (preferred)
- Experience with Jenkins and Argo CD (preferred)
- Experience in the social security sector (preferred)
- Experience with SAFe (preferred)
- Early availability is a definite plus
Benefits
Comp & perks- Real-world production projects
- Remote-first across the DACH region, with occasional on-site work
- Modern AI stack featuring RAG, agents, vector search, and MLOps
- Internal upskilling and investment in AI skills
- MacBook
- Flat hierarchies
- Direct access to members of the founding team
- Strong team cohesion, even when working remotely