About the job
At Sixt, we aim to revolutionize mobility by providing superior solutions that meet the evolving demands of our customers. Join our innovative Data Science team and play a pivotal role in transforming business processes such as pricing through advanced algorithms and robust machine learning applications. Embark on this exciting journey with us!
YOUR ROLE AT SIXT
Lead and expand our Machine Learning Engineering team, collaborating closely with data scientists to deploy production-ready ML applications on our centralized MLOps platform.
Establish and uphold ML Engineering standards by defining best practices, design patterns, and quality benchmarks to empower data scientists in developing scalable and maintainable ML solutions.
Drive the technical strategy and architecture across data science, MLOps, and engineering teams, ensuring alignment with business objectives while effectively communicating system designs to technology leadership.
Act as a liaison between platform capabilities and practical applications, translating MLOps platform functionalities into actionable insights for data science teams and relaying ML engineering needs back to the MLOps platform team.
Promote a culture of collaboration and excellence by building strong relationships across cross-functional teams, mentoring engineers, and fostering an environment of innovation and continuous improvement.
YOUR SKILLS MATTER
Proven leadership experience with over 3 years managing machine learning or software engineering teams, ideally across multiple locations, demonstrating a history of building high-performing teams.
Strategic technical vision with a background in leading complex, multi-stakeholder ML/data science projects from inception to deployment.
Deep ML and cloud expertise, including hands-on experience with machine learning frameworks, MLOps methodologies, and AWS cloud services.
Production ML deployment experience with tangible examples of deploying and maintaining large-scale ML systems in operational environments.
Bridge-builder mindset with exceptional communication abilities, capable of translating complex technical concepts to business stakeholders and fostering consensus among diverse teams.
Hands-on technical credibility to review system architectures, guide technical decisions, and occasionally contribute to critical implementations.
WHAT WE OFFER
- Generous Time Off: Enjoy 28 days of vacation, an additional day off for your birthday, and one volunteer day per year.
- Work-Life Balance & Flexibility: Benefit from a hybrid working model, flexible working hours, and a supportive environment.

