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As a Model Quality Tester, you would be responsible for ensuring the accuracy, reliability, and performance of machine learning models. This role involves identifying potential issues, and collaborating with data scientists and engineers to enhance model quality, specifically in your native language.Key Responsibilities:Conduct testing of models to assess accuracy, precision, recall, and other relevant metrics.Data integrity checkCommunicate findings and recommendations to stakeholders in a clear and concise manner.Maintain detailed documentation of testing results, and corrective actions.Who we are looking for:Must be Bilingual, Fluent in German or French or Italian and EnglishBachelor's degree in Computer Science, Data Science, or a related field, as well as considering backgrounds with Copywriting, or humanities degree.Must be data savvy and comfortable with MS ExcelExperience with automated testing tools and frameworks.Knowledge of data preprocessing and feature engineering.Familiarity with programming languages such as Python or R (nice to have)Our offer:1 year contract with GiGroupOpportunity to work in a supportive and multicultural team.Training and development programs to help you grow professionallyOs candidatos interessados, em cumprimento do definido no Regulamento (UE) 2016/679 (RGPD), são convidados a ler a política de privacidade em > Política de Privacidade CandidatosParte da Gi Group Holding, a Gi Group reconhece e respeita a diversidade das pessoas e acredita que proporcionar igualdade de oportunidades, através de processos justos com base na meritocracia e competência profissional, valorizar a diversidade de semelhanças e diferenças que criam a singularidade de cada pessoa e promover uma cultura de inclusão eliminando fatores que desencorajam ou dificultam o acesso, a permanência e o crescimento no mundo do trabalho é fundamental para o seu sucesso. Conheça as nossas Políticas Globais de Alto Nível em > Compromisso Social" GI Group cumpre, deste modo, o normativo legal constante da Lei 4/2019, de 10 de Janeiro.