This position will work closely with our ClearCorrect aligner brand. Vacancy open for Madrid or Berlin. Key Responsibilities • Design and implement ML models for automating and processing 3D data in orthodontic treatment. • Develop algorithms for teeth segmentation in 3D scans and imaging data. • Work on material reconstruction of teeth for realistic visualization and simulation. • Collaborate with domain experts (orthodontists, clinical specialists and biomechanical engineers) to refine requirements and validate solutions. • Optimize computational geometry workflows for efficiency and accuracy. • Integrate solutions into production-ready pipelines and software tools. • Stay updated with the latest research in ML, 3D graphics, and medical imaging.
Stellenbeschreibung KI-Entwickler:in mit Fokus auf Responsible AI (m/w/d) Standort: Remote/ Berlin/ München/ Hamburg Personalvermittlung: Innovationspartner für verantwortungsvolle Digitalisierung. Du entwickelst nicht nur KI, DU gestaltest Vertrauen in Technologie.
Vacancy at the Berlin University for a professorship (W2) in the field of Health Informatics, which may and should also initiate its own research projects.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.