Machine Learning Engineer (m/f/d)

Legal Entity: Sixt Research Development Services, Lda.Job DescriptionSIXT is a global market leader in the mobility space and sets the pace for innovation like nobody else. We are transforming the industry to become fully digitalized and offer our customers an answer to all mobility needs they have. Our vision is: Transform the world moves, because people expect better. Join our Data Science team and make the magic happen. We drive business processes like pricing and many more with the use of sophisticated algorithms. For this purpose, we design, develop and maintain state of the art machine learning models and manifold optimization solvers as well as simulation models. As a member of this team, your work will improve the experience of millions of our customers and have a direct impact on our business results. Apply now and join our journey and become a part of the SIXT family.Your Role at SIXTYou develop and maintain a reliable infrastructure within the Data Science team, with a strong focus on DevOps practices and cloud technologies.You design and extend tools to automate the Data Science tech stack, continuously improving MLOps processes, including model deployment and data pipelines.You ensure a scalable, secure, and robust foundation for deploying machine learning models and algorithms, collaborating closely with teams such as Cloud Infrastructure.You work effectively with stakeholders across departments to align technical solutions with business objectives.You build and maintain infrastructure as code (IaC) using tools like Terraform to efficiently manage cloud resources.You make data science experiments production-ready, ensuring they are robust, scalable, and properly monitored.YOUR SKILLS MATTERYou demonstrate strong proficiency in cloud-native environments, with a focus on Amazon Web Services (AWS) and designing scalable, resilient architectures.You apply advanced Python skills and implement CI/CD pipelines to enable seamless, automated software delivery across development stages.You manage infrastructure using Infrastructure as Code (IaC) principles, leveraging tools like Terraform to ensure consistency, agility, and repeatability.You work with containerization technologies like Docker and are familiar with orchestrating microservices at scale using Kubernetes.You contribute to ML Ops and data engineering workflows, with foundational knowledge in data modeling, ETL processes, and database systems.You use monitoring and logging tools to proactively detect and resolve issues, while collaborating effectively with global teams and communicating across technical and non-technical audiences.WHAT WE OFFERGenerous Time Off Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per yearWork-Life Balance & Flexibility Benefit from a hybrid working model, flexible working hours, and no dress codeGreat Employee Benefits Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discountsTraining & Development Participate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and developmentHealth & Well-being Private health insurance to support your well-beingAdditional Perks Enjoy the Coverflex advantage system to enhance your employee experienceAdditional InformationAbout 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! #J-18808-Ljbffr