Our vision is: Transform the world moves, because people expect better. Join our Data Science organization and make the magic happen. We drive business processes like pricing and many more with the use of sophisticated algorithms and building highly scaling algorithms. Apply now and be part of our journey.
YOUR ROLE AT SIXT
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
YOUR SKILLS MATTER
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
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
WHAT WE OFFER
Extra benefits
Enjoy discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion and more
Mobility boost
We support you with a monthly mobility allowance of €20 per month for even more freedom
Future security
We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered
Feel-good atmosphere
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
Flexibility
Enjoy 30 days of vacation and a hybrid working model with flexible hours
Giving back
Take one day each year to volunteer at a charitable organization dedicated to supporting children
About us We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!
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NOTE / HINWEIS:
EN: Please refer to Fuchsjobs for the source of your application
DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung
Stelleninformationen
Veröffentlichungsdatum:
02 Mär 2026
Standort:
München
Einsatzort:
Pullach near Munich
Typ:
Vollzeit
Arbeitsmodell:
Vor Ort
Kategorie:
Erfahrung:
2+ years
Arbeitsverhältnis:
Angestellt
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