Jobbeschreibung
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.
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. are used
-
Feasibility analyses of problems with regard to artificial intelligence and machine learning and the development of suitable solution strategies
-
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
At experienced level, responsibility may extend to supporting other teams, colleagues or interdisciplinary stakeholders in the organisation or operational realisation to achieve relevant milestones or business objectives.
-
Component in working on Linux based infrastructure
-
Proficiency in Python and object-oriented software programming e.g. C++
-
Ability in other programming languages are a plus e.g. Java, Go or Rust
-
Proficiency in CNNs and machine learning in the medical field
-
Competent in troubleshooting e.g. hotfixes
-
Proficiency in software engineering in collaboration with Git
-
Competent in requirement engineering regarding to usability and clinical indication
-
Competent in agile project development methodologies and project management (e.g. Jira, MS Project, etc.)
-
Competent in monitoring, maintenance and change control of software development in a regulated field
-
Competent in versioning, data logging and their visualization
-
Know-how for systematic researching of machine- and especially deep-learning algorithms
-
Configuration and managing databases such as MySQL, MongoDB, etc
-
Competent in concepts for software development procedures
-
Knowledge with medical device regulations (EU MDR, FDA, ISO, etc.)
In addition to the job description and professional experience, the qualifications and competences required of the candidate ensure that the most suitable candidate is selected.
-
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
-
Experience in medical image processing projects, AI projects in medicine and other AI-based developments
-
Implementation of innovative methods in the field of computer vision and deep learning
-
Knowledge and understanding in medical and clinical workflows and medicine e.g. radiology, hospital informationsystem (HIS) or DICOM
-
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