Machine Learning Engineer (m/f/x)

e learning models for real-world and logistics use casesWork with data scientists, software engineers, stakeholders, and logistics experts to translate challenges into scalable technical solutionsBuild reliable data pipelines and feature engineering processes for training and production environmentsProductionize machine learning models using appropriate software engineeringMonitor model performance, data quality, reliability, and potential model driftContribute to the design of machine learning platforms, APIs, and data productsDocument models, assumptions, interfaces, processes, and results clearlySupport the adoption of best practices in machine learning, software development, testing, version control, and deploymentStay up to date with developments in artificial intelligence, machine learning, cloud technologies, and responsible AI Your profile • Degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related fieldProfessional experience developing and deploying machine learning solutionsSolid understanding of machine learning concepts, model evaluation, statistics, and data preparationFamiliarity with cloud platforms and modern data or machine learning infrastructureAbility to communicate technical concepts clearly to both technical and non-technical stakeholdersStrong analytical and problem-solving skillsFluent English, both written and spoken Why us? A permanent employment contract and very good individual development and advancement opportunities in a globally active companyWork Life Balance with homeoffice opportunitiesAn attractive salary and other benefits, such as "emplu", “Lease a bike” and “EGYM Wellpass”A subsidized company pension scheme, capital formation benefitsA subsidy on public transportationA company with flat hierarchies where you can grow and feel comfortableA challenging and varied job as well as independent workA pleasant and collegial working environmentA new modern office Skills: AI, Machine Learning, Logistics, Software Engineering, Data Science, Computer Science, Data Products, Date Pipelines, Models, Statistics, Model Evaluation, analytical, problem solving