Engineering Manager Machine Learning

Your Role in the 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.

Our Offer

• 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.

Technologies and Skills

• AWS

Our Expectations for You:

Qualifications

• 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.

Experience

• 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.

Benefits

• Relocation Package
• Home Office