Company Description
Job Description
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 us e of sophisticated algorithms. For this purpose, we design, develop, and maintain our MLOps platform that is used by Data Science and further teams. Apply now and be part of our journey.

YOUR SKILLS MATTER

• Leadership You have a strong track record in technical leadership and experience managing cross-location machine learning and/or engineering teams
• Background You have experience leading strategic technical projects with multiple stakeholders
• Skills You have knowledge of Machine Learning and AWS cloud technologies
• Hands on You have ideally real-world experience in building platforms for data science and machine learning operations
• Approach You have strong interpersonal skills and the ability to build consensus

ABOUT US:

We are a leading global mobility service provider with sales of €3.07 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (cab, driver and chauffeur services), SIXT+ (car subscription) and gives our customers access to our fleet of 222,000 vehicles, the services of 1,500 cooperation partners and around 1.5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,098 rental stations. At SIXT, a first-class customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and long-term stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility? Apply now

• You will lead and grow our Machine Learning Operations (MLOps) team that runs our central platform for automation of all Data Science processes and gives guidance, governance and support for deploying and operating models and algorithms efficiently and reliably in production
• You will guide the further implementation and operation of our MLOps platform
• You will collaborate closely with data scientists, machine learning and software reliability engineers, tech management and business stakeholders to understand platform requirements and translate this into a technical roadmap and team vision
• You will drive and communicate system designs within our tech teams and tech leadership