MLOps Engineer

Beschreibung

Job Zusammenfassung In diesem Job entwirfst, baust und wartest du skalierbare Infrastrukturen für ML-Modelle und sorgst für deren reibungslose Produktion sowie Überwachung in kritischen Umgebungen. Job Zusammenfassung In diesem Job entwirfst, baust und wartest du skalierbare Infrastrukturen für ML-Modelle und sorgst für deren reibungslose Produktion sowie Überwachung in kritischen Umgebungen. Deine Rolle im Team You join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. Partnering with your hiring manager, you: Design, build and maintain scalable infrastructure for ML models. Collaborate closely with AI/ML teams to bring models reliably into production. Manage model versioning, experiment tracking, and reproducibility. Implement CI/CD for ML systems. Ensure performance, reliability, and security of deployed models in critical environments. Set up monitoring, logging, and alerting for model performance. Sometimes you support field operations by acquiring sensor data on site and validating the technology through controlled field trials. Unsere Erwartungen an dich Qualifikationen Due to security regulations for this role, you have to hold citizenship of an EU Member State. Hold a German work permit and Tax ID. Live in Germany and happy to support field operations around Berlin. Willingness to travel 10%. Proficiency in Python and with ML frameworks (e.g., PyTorch, TensorFlow). Hands-on expertise with AWS and GCP. Expert knowledge of CI/CD, automation, and infrastructure as code. Fluent in English, any other spoken language is a plus. Passion for IoT and defense. Personality that thrives in a driven startup/scaleup environment. Ideally worked with Golang. Ideally understanding of Apache license obligations, including attribution, notice files, and compliant redistribution of builds and containers. Erfahrung Minimum 4 years full-time work experience as a MLOps engineer or ML engineer with DevOps responsibilities. Worked for at least two years for one and the same employer. Solid experience with ML lifecycle tools (e.g., MLflow, Kubeflow, Airflow or similar). Experience with Kubernetes, Docker, and microservices. Ideally experience with bash scripting. Unser Angebot Opportunity to use top-notch technology. Be part of a group of tech sassy engineers. Join the next unicorn in defense, that develops one of the first multinational drone early-warning systems. Multinational, pragmatic and hands-on team with a strong focus on innovation. 100% free workplace policy: Come to the office in Berlin or work from home anywhere in Germany. Flexible working hours: There are some meetings but apart from this, work whenever is best for you. 30 days vacation. Health insurance package. Sports club membership. Benefits Work-Life-Integration 🏠 Home Office Themen mit denen du dich im Job beschäftigst IoT AI Metadaten Level: Erfahren Job Feld: IT, DevOps, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Full Remote, Hybrid Unternehmenstyp: Startup Branche: Personaldienstleistung Ort: Berlin | Deutschland

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