Job
- Level
- Senior
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Onsite
Job Summary
In this role, you will develop reliable data pipelines for medical imaging and optimize AI-based software in agile projects, ensuring data flow, quality, and documentation compliance.
Job Technologies
Your role in the 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.
- Unabhängige Studie des aktuellen Stands der Technik.
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Our expectations of you
Education
- 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.
Qualifications
- 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 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.
Experience
- 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.
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What we offer
- We are a team with flat hierarchies and a friendly atmosphere.
- We support your professional development and enable you to participate 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.
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Benefits
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Topics that you deal with on the job
Job Locations
This is your employer
FUSE Integrierte Kommunikation und Neue Medien
We accompany companies through the digitalization process. We see our IT department as an IT intelligence lab. Curiosity and fun in the development of new projects - that's what drives us.
Description
- Founding year
- 1996
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
Senior Medical Data Engineer / Data-Centric ML Engineer
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
