Engineering Manager Machine Learning

Beschreibung

Job Zusammenfassung In dieser Position leitest du ein Machine Learning Engineering-Team, entwickelst Standards und Best Practices für die MLOps-Plattform und koordinierst technische Strategien in Zusammenarbeit mit anderen Teams. Job Zusammenfassung In dieser Position leitest du ein Machine Learning Engineering-Team, entwickelst Standards und Best Practices für die MLOps-Plattform und koordinierst technische Strategien in Zusammenarbeit mit anderen Teams. Deine Rolle im Team You will lead and scale our Machine Learning Engineering team that partners with data scientists to transform models into production-grade ML applications on our central MLOps platform. You will shape ML Engineering standards by establishing best practices, design patterns, and quality benchmarks that enable data scientists to build scalable, maintainable ML solutions. You will drive technical strategy and architecture across data science, MLOps, and engineering teams, ensuring alignment with business objectives and communicating system designs to tech leadership. You will bridge platform and practice by translating MLOps platform capabilities into practical guidance for data science teams, while channeling ML engineering requirements back to the MLOps platform team. You will foster collaboration and excellence by building strong relationships across cross-functional teams, mentoring engineers, and creating a culture of innovation and continuous improvement. Unsere Erwartungen an dich Qualifikationen Bridge-builder mindset with exceptional communication skills, ability to translate between technical and business stakeholders, and talent for building consensus across diverse teams. Hands-on technical credibility with the ability to review architectures, guide technical decisions, and occasionally contribute to critical implementations. Erfahrung Proven leadership experience with 3+ years managing machine learning or software engineering teams, ideally across multiple locations, with a track record of building high-performing teams. Strategic technical vision with experience leading complex, multi-stakeholder ML/data science initiatives from concept to production. Deep ML and cloud expertise including hands-on experience with machine learning frameworks, MLOps practices, and AWS cloud services. Production ML deployment experience with real-world examples of deploying and maintaining large-scale ML systems in production environments. 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 AI Metadaten Level: Lead 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

Tech Stack