Get AI-powered advice on this job and more exclusive features.Direct message the job poster from WorksterWorkster is partnering with a global leader in the mobility space, transforming the industry with cutting-edge innovations and a fully digitalized approach. Join their Data Science team and help drive business processes like pricing with sophisticated algorithms. Make a direct impact on millions of customers and the company’s business results.Your RoleDevelop and maintain a solid infrastructure within the Data Science team, focusing on DevOps processes and cloud technologies.Establish and extend tools to automate the Data Science Tech Stack to continuously improve MLOps processes, including model deployment and data pipelines.Ensure a reliable and scalable deployment foundation for Data Science machine learning models and algorithms, collaborating closely with other departments like cloud infrastructure.Work with stakeholders across departments to achieve business goals and enhance the overall performance of the company’s systems.Build and maintain infrastructure as code (IaC) using tools like Terraform to manage cloud resources.Make data science experiments production-ready, ensuring they are monitored, robust, and scalable.Your QualificationsStrong knowledge of cloud technologies, ideally in AWS, with 3 years experience in this domainSolid coding skills in Python and experience with continuous integration/continuous deployment (CI/CD) approaches.Experience with Infrastructure as Code (IaC), ideally Terraform, is a strong plus.Familiarity with containerization technologies such as Docker and container orchestration systems like Kubernetes.Ideally, knowledge of the operational deployment of machine learning applications.Ideally, experience in data engineering, including data modeling, database systems, and ETL processes.Experience with monitoring and logging tools to detect and diagnose issues in machine learning models and supporting infrastructure.Excellent communication and collaboration skills, fluency in English, and an appreciation for cultural diversity.The Offer:Generous Time Off: Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year.Work-Life Balance & Flexibility: Benefit from a hybrid working model, flexible working hours, and no dress code.Great Employee Benefits: Access discounts on services like rent, share, ride, and SIXT+, along with partner discounts.Training & Development: Participate in training programs, external conferences, and internal dev & tech talks for personal growth.Health & Well-being: Private health insurance to support your well-being.Additional Perks: Enjoy the Coverflex advantage system to enhance your employee experience.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionAnalyst, Engineering, and Information TechnologyIndustriesIT System Data Services and IT Services and IT ConsultingReferrals increase your chances of interviewing at Workster by 2xGet notified about new Machine Learning Engineer jobs in Munich, Bavaria, Germany.Machine Learning Software Engineer – Optimization & LLM Development (m/f/x)Greater Munich Metropolitan Area 3 weeks agoSenior Machine Learning Engineer, Map DataSoftware Engineer (m/w/d) Machine LearningMachine Learning Security Engineer (m/w/d)We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr