$ cat jobs/senior-machine-learning-engineer-m-f-d-sixt-c7a43e795b63.json
Senior Machine Learning Engineer (m/f/d)
SIXT 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 SIXT You Develop further and maintain a solid infrastructure within the Data Science team, with a focus on DevOps processes and cloud technologies You Establish and extend tools to automate our Data Science Tech Stack to continuously enhance MLOps processes, including model deployment and data pipelines You Ensure a reliable and scalable deployment foundation for our Data Science ML models and algorithms and work closely with other departments like cloud infrastructure You Collaborate effectively with stakeholders from other departments to achieve our business goals You Build and maintain infrastructure as code (IaC) using tools like Terraform to manage cloud resources You Make data science experiments production-ready, monitored, robust, and scalable YOUR SKILLS MATTER Technical Background You have strong knowledge of cloud technologies, ideally in AWS Experience You have solid coding skills in Python and hands-on experience with CI/CD approaches Tools & Platforms You have experience with infrastructure as code (IaC) tools like Terraform, Docker, and ideally container orchestration systems such as Kubernetes Domain Knowledge You ideally bring kno
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