Senior MLOps Engineer

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du eine zentrale MLOps-Plattform, gestaltest CI/CD-Workflows und arbeitest eng mit Data Scientists zusammen, um den gesamten ML-Lebenszyklus effizient zu gestalten. Job Zusammenfassung In dieser Position entwickelst du eine zentrale MLOps-Plattform, gestaltest CI/CD-Workflows und arbeitest eng mit Data Scientists zusammen, um den gesamten ML-Lebenszyklus effizient zu gestalten. Deine Rolle im Team You design and build our central MLOps Platform covering the complete ML lifecycle: data ingestion, feature engineering, training, deployment, monitoring, and retraining at scale. You architect robust CI/CD workflows and self-service capabilities that empower data scientists to deploy models independently while maintaining security, compliance, and operational excellence. You partner with Data Scientists, ML Engineers, and Infrastructure teams to translate requirements into platform capabilities, provide technical guidance, and drive seamless integration. You establish and evangelize MLOps best practices across the organization, driving adoption through training, documentation, and hands-on support. You optimize infrastructure costs and enhance observability by implementing efficient resource allocation, comprehensive monitoring, and intelligent automation that eliminates operational toil. Unsere Erwartungen an dich Qualifikationen You have deep hands-on expertise with AWS SageMaker AI & SageMaker Unified Studio, including pipelines, model registry, endpoints, and feature store. You have a demonstrated track record driving organizational adoption of new platforms and processes across multiple teams. You can articulate complex technical concepts to both technical and non-technical stakeholders and influence decision-making. Erfahrung You have several years of experience in MLOps, ML Engineering, or DevOps with proven success building end-to-end MLOps platforms in production environments. You possess a solid understanding of the ML lifecycle and experience with containerization (Docker, Kubernetes), CI/CD tools, and ML monitoring/observability. Unser Angebot Enjoy discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion and more. We support you with a monthly mobility allowance of €20 per month for even more freedom. We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered. Stay active with our modern SIXT gym, various leisure activities like the gaming area or the SIXT choir, and enjoy our high-quality employee restaurant. Enjoy 30 days of vacation and a hybrid working model with flexible hours. Take one day each year to volunteer at a charitable organization dedicated to supporting children. Benefits Work-Life-Integration 🏠 Home Office ⏰ Flexible Arbeitszeiten 🚌 Gute Anbindung Gesundheit, Fitness & Fun 🙂 Gesundheitsförderung 🏋🏿‍♂️ Fitness Angebote 🎮 Gaming Room Essen & Trinken 🍽 Kantine/Betriebsrestaurant 🥘 Essenszulage Mehr Netto 👴🏻 Betr. Altersvorsorge 🚎 Verkehrsmittel-Zuschuss 🛍 Mitarbeitervergünstigungen Themen mit denen du dich im Job beschäftigst Machine Learning Cloud Computing AI Metadaten Level: Senior Job Feld: IT, Data, DevOps Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom, Logistik, Transport Ort: Pullach im Isartal | Zugspitzstr. 1 | 82049 | Deutschland

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