AI Engineer (m/f/d)
Retinsight Gmbh
- Location
- Hybrid (Wien, Vienna)
- Compensation
- €56k/yr
- Employment
- Full-time
- Level
- Mid Level
Posted 2 weeks ago
About the Role
RetInSight, a spin-off of the Medical University of Vienna, develops cloud-based AI solutions for retinal image analysis to improve patient outcomes and clinical efficiency. The AI Engineer role involves designing and evaluating deep learning models for medical imaging within a collaborative, mission-driven team.
Skills
Python
Machine learning
Deep learning
Computer vision
Medical image analysis
PyTorch
Numpy
Pandas
MONAI
Git
Automated testing
Docker
AWS
Azure
Experimental design
Model evaluation
Perks
- Hybrid work model
- Flexible working hours
- Public transport support
- Team-building events
- Fully stocked kitchen
- Mental well-being platform
- Corporate benefits
- Buddy program
Full job details
Your responsibilities
We are looking for a highly skilled and motivated AI Engineer (m/f/d) to develop and deliver innovative AI solutions for healthcare and clinical research. In this role, you will design, train and evaluate machine-learning and deep-learning models for medical-image analysis. You will build modular and reliable Python components, conduct reproducible experiments and help translate complex clinical and technical requirements into robust AI capabilities. Working closely with AI, data, clinical, annotation and software specialists, you will contribute throughout the development lifecycle: from data preparation and model validation to deployment, monitoring and continuous improvement of our shared development tool stack. The ideal candidate combines strong machine-learning and computer-vision expertise with sound software-engineering practices, a collaborative mindset and a passion for improving healthcare through responsible AI.
Your responsibilities will include:
- Design, train, evaluate and refine machine-learning and deep-learning models for medical-image segmentation, classification, quantification, forecasting and longitudinal analysis.
- Implement modular, tested and documented Python components for training, inference, evaluation, integration and reporting.
- Prepare and quality-check training and validation data, and support annotation review with clinical and annotation specialists.
- Run structured experiments, select suitable metrics, perform error analysis and document traceable, reproducible results.
- Contribute to shared benchmarks and model-assisted annotation capabilities, support deployment and monitoring under applicable quality and regulatory procedures and contribute to shared development tool stack.
Your profile
- Bachelor's or Master's degree in a relevant quantitative discipline like computer science, statistics, computer vision, mathematics, biomedical engineering, or equivalent professional experience
- At least two years of applied machine-learning or deep-learning experience
- Strong Python skills with PyTorch, Numpy, Pandas, MONAI, etc.
- Practical computer-vision experience, ideally in image segmentation, classification or medical-image analysis
- Sound knowledge of experimental design, model evaluation, robustness, data leakage and reproducibility
- Experience with Git, code review, automated testing, Docker and AWS or Azure
- Healthcare, clinical research, medical-device or model-deployment experience is advantageous
- Strong communication skills in English
Benefits
- Room for your own ideas and possibility to grow in your role
- Friendly and supportive team culture that values diversity
- Hybrid work model (home office + in-person collaboration)
- Flexible working hours for better work–life balance
- Well-equipped workplace in a charming office in central Vienna
- Public transport support
- Regular team-building events
- Fully stocked kitchen with snacks and drinks
- Access to digital mental well-being platform
- Corporate Benefits and discounts
- Buddy program to help you get started
You can expect a gross yearly salary starting at EUR 56.854,-- (on full-time basis, 38.5 hours/week based on the collective agreement) with the willingness to overpay according to your qualification and experience.
Contact
Fits to your current situation? Then apply now directly on our career page! We are looking forward to your application (including CV & motivation letter).