Machine Learning Engineer (m/w/d)

19 May 2026
As a young and dynamic eHealth company, FUSE\-AI pursues the goal of improving medical care with innovative AI\-based software products.

Our software solutions analyze medical images and support radiologists in the diagnosis of cancer. Our product development focuses on ML/DL technologies.

At FUSE\-AI, we work together in an interdisciplinary team of data scientists, machine learning engineers, Q\&R experts and scientists for the use of AI solutions in medicine.

What sets us apart

Work culture: We are a team with flat hierarchies and a friendly atmosphere.

Work\-life balance: We support your professional development and enable you to take part in specialist events, for example.

Top location: 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.

Job description

ML\-Engineers at FUSE\-AI develop, produce and improve computer vision models for image classification, segmentation, and image analysis using deep learning and classical image analysis techniques. They are required to have knowledge of data science, data mining, multivariate statistics, computer vision or machine learning.

Varied, challenging activities around machine learning, from model design to MLOps, up to the development of software systems of FUSE\-AI‘s core business activities

Planning, design and implementation of machine learning systems as well as the integration into our software products or projects based on TensorFlow, Keras, Python, etc.

Feasibility analyses of problems regarding artificial intelligence and machine learning and the development of suitable solution strategies

Conducting and evaluating experiments and clinical evaluation in the field of medical imaging

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 and monitoring / maintenance systems

Analysis and solving of complex development tasks in teamwork

Independent study of state of the art knowledge

Qualification and Competences

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

Proficiency in machine learning / deep learning / image processing in the medical field

Know\-how for systematic researching of machine/deep learning algorithms

Experienced in Python and AI\-related frameworks

Competent in versioning, data logging and their 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

Nice\-to\-haves

Experience in working on Linux based infrastructure

Experience with LLMs, RAG and agentic systems

Knowledge and understanding in medical and clinical workflows and medicine e.g. radiology, hospital information system (HIS) or DICOM

Knowledge with medical device regulations (EU MDR, FDA, ISO, etc.) and competence in monitoring, maintenance and change control of software development in a regulated field

Interested?

Then we look forward to receiving your application (English or german)! Please send your documents with salary expectations and possible starting date to job@fuse\-ai.de. If you have any questions, please do not hesitate to contact us on 040\-450 318 \- 13

Not sure if the position suits you?

Just give us a call or drop by so that we can find out together whether the position suits you.

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Machine Learning Engineer

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