AI Engineer (m/f/d)

RetInSight GmbH; Wien; Hybrid; EUR 51.000 - 63.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Well-equipped office in central Vienna

Public transport support

Team-building events

Fully stocked kitchen

Digital mental well-being platform

Corporate benefits and discounts

Buddy program

Zusammenfassung

RetInSight GmbH in Vienna seeks an AI Engineer (m/f/d) to develop and deliver innovative AI solutions for healthcare and clinical research. You will design, train and evaluate machine-learning and deep-learning models for medical-image analysis.

You will build modular Python components, conduct reproducible experiments and help translate complex clinical and technical requirements into robust AI capabilities.

Qualifikationen

• Bachelor's or Master's degree in a 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 or medical-image analysis.
• Experience with Git, code review, automated testing, Docker and AWS or Azure.
• Fluent English communication skills.

Aufgaben

• Design, train, evaluate and refine ML/DL models for medical-image segmentation, classification, and analysis.
• Implement modular Python components for training, inference, evaluation, integration and reporting.
• Prepare and quality-check training data and support annotation review with clinical teams.
• Run structured experiments, select metrics, perform error analysis and document reproducible results.
• Contribute to shared benchmarks and model-assisted annotation, support deployment and monitoring.

Kenntnisse

Python

PyTorch

Numpy

Pandas

MONAI

Computer Vision

Machine Learning

English

Ausbildung

Bachelor's or Master's degree in quantitative field

Tools

Docker

AWS

Azure

Git

Jobbeschreibung

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
• 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)
• 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.

About us

We are a spin-off of the Medical University of Vienna with the aim to bring the breakthroughs of science to the society and each individual, anywhere and anytime. Our expertise builds on more than 15 years of tele-ophthalmology and AI-based retinal image analysis. As pioneers in the field, we are developing cloud-based transformational AI solutions to improve patient outcomes, empower physicians to increase clinical efficiency and reduce healthcare costs addressing the leading eye diseases of our times. With your contribution we will protect millions of patients from irreversible vision loss and blindness.