Senior Medical Data Engineer / Data-Centric ML Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du zuverlässige Datenpipelines für medizinische Bilder und optimierst KI-gestützte Software in agilen Projekten, während du den Datenfluss, die Qualität und die Dokumentation sicherstellst. Job Zusammenfassung In dieser Rolle entwickelst du zuverlässige Datenpipelines für medizinische Bilder und optimierst KI-gestützte Software in agilen Projekten, während du den Datenfluss, die Qualität und die Dokumentation sicherstellst. Deine Rolle im Team As a Medical Data Engineer / Data-Centric ML Engineer at FUSE-AI, you will work at the intersection of medical imaging, data engineering, machine learning and regulated software development. The role focuses on building reliable, traceable and high-quality medical imaging data pipelines that enable the development, validation and continuous improvement of our AI-based products and projects. Varied and challenging activities around medical image data, data-centric machine learning and AI-based software development. Planning, design and implementation of data pipelines for medical image data, e.g. DICOM-based workflows. Development and maintenance of processes for data ingestion, structuring and traceability. Establishment and continuous improvement of dataset governance, including data quality checking, dataset versioning, documentation. Feasibility analyses of problems regarding artificial intelligence and machine learning and the development of suitable solution strategies. Management and quality assurance of annotations, labels and ground truth data used for medical machine learning model development and validation. Support in the selection and integration of suitable tools, frameworks and technologies to improve our ML development and deployment processes according to regulatory compliance and requirements. Further development and optimization of our products/projects. Analysis and solving of complex development tasks in teamwork. Independent study of state of the art knowledge. Unsere Erwartungen an dich Ausbildung A successfully completed degree in (technical) computer science, physics or a comparable scientific discipline. If academic qualifications or further education are not sufficient to demonstrate software engineering, programming and development-related skills, evidence of an equivalent level needs to be demonstrated e.g. trial working day. Qualifikationen Competent in building and maintaining data pipelines for medical image datasets. Competent in annotation and label management for medical image datasets. Competent in data versioning, data logging, traceability and visualization. Knowledge in configuration and managing databases such as MySQL, MongoDB, etc. Proficiency in software engineering in collaboration with Git. Competent in concepts for software development procedures, agile project development methodologies and project management (e.g. Jira, MS Project, etc.). Competent in requirement engineering regarding to usability and clinical indication. Good communication in balance with respect, kindness and feedback culture. Hands-on mentality and problem-solving mindset in accordance with best practice and requirements. Independent structured manner of working and interest in collaboration and further development in an interdisciplinary team. Proficiency in German and English communication. Erfahrung Several years of experience in machine learning / deep learning / image processing / data engineering in the medical field. Experienced in Python and AI-related frameworks. Experience in working on Linux-based infrastructure. Experience with medical image data (DICOM), metadata handling and imaging workflows. Unser Angebot We are a team with flat hierarchies and a friendly atmosphere. We support your professional development and enable you to take part in specialist events, for example. We offer you state-of-the-art technology in a bright office atmosphere between the town hall and the Michel with subway, S-Bahn and bus right outside the door. Benefits Mehr Netto 👴🏻 Betr. Altersvorsorge Themen mit denen du dich im Job beschäftigst Machine Learning AI HealthTech Metadaten Level: Senior Job Feld: Data, Application Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: Hamburg | Deutschland

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