EngineeringManager(m/f/d)MachineLearning

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