Your ResponsibilitiesAnalysis, preparation, and visualization of multimedia data from different sourcesPreparation and management of data annotation for training AI modelsEnsuring data quality and integrityConducting ad-hoc data analysesDevelopment and maintenance of reportsClose collaboration with specialist departments to support data-driven decision-making and model trainingCreation, maintenance, and further development of data privacy policies, processes, and documentationDevelopment of data management processes, data protection impact assessments, and risk analysesContact person for the Data Protection Officer and internal/external advisory and legal departmentsYour profileCompleted studies in Computer Science, Data Science, Artificial Intelligence, Information Security/Law, or a comparable qualification (qualified career changer possible)Strong Python skills (at least 2 years of professional experience)Experience with data analysis and statistics tools (e.g., pandas, NumPy, SciPy, Matplotlib)Ability to present complex data in an understandable wayExperience or interest in building and using data processing pipelines for training AI modelsPlus: knowledge and practical understanding of ensuring data quality, fairness and bias minimization, as well as robustness of AI systemsExperience and/or interest in German, European and international data protection law (GDPR, EU AI Act; healthcare regulations such as HIPAA, MDR)Plus: experience in building, implementing and/or using data protection management systemsAnalytical and structured working style with high problem-solving skillsTeam orientation and self-initiativeStrong communication, persuasiveness and diplomatic demeanorReliability, high discretion and sense of responsibilityExcellent German language skills, both spoken and writtenProficient command of English, both spoken and writtenWhat we offerA dynamic, highly qualified and diverse team in which your contributions are reflected directly in our products and used by our international customer baseFlat hierarchies and short decision-making processesExciting and varying tasks for our product portfolioExcellent working environment, modern office space and flexible working hours with the option of mobile working, partly in other EU countriesClose connection to academic research (EU and national projects) and a highly innovative companyTeam events and company eventsFree drinks, coffee, tea & fruit and snacksAbout usaudEERING was founded in 2012 as a spin-off of the Technical University of Munich. Today, audEERING is the only European company driving innovation in the field of intelligent audio analysis and vocal expression AI. Using innovative machine intelligence and deep learning techniques, audEERING’s products can automatically analyze e. g. acoustic scenes, speaker states as well as mood states. audEERING’s customers include multinational companies such as BMW, GfK, Red Bull Media House and Ipsos. #J-18808-Ljbffr