AI Engineer

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

Benefits dieser Stelle

Hybrid work model

Central Vienna office

Public transport support

Team-building events

Fully stocked kitchen

Mental well-being platform

Corporate benefits

Zusammenfassung

RetInSight GmbH in Vienna is seeking a skilled AI Engineer (m/f/d) to design, train and deploy ML models for medical-image analysis. You will build modular Python components, run reproducible experiments and collaborate with clinical and software teams throughout the development lifecycle.

The ideal candidate has 2+ years of ML experience, strong Python skills with PyTorch, solid computer-vision background, and a keen eye for robust, compliant AI in healthcare.

Qualifikationen

• Bachelor's or Master's degree in a quantitative discipline such as computer science, statistics, math, or related field.
• At least two years of applied ML or deep learning experience.
• Strong Python skills with PyTorch, Numpy, Pandas, MONAI, etc.
• Practical computer-vision experience in medical-image analysis.
• Sound knowledge of experimental design, model evaluation, robustness and reproducibility.
• GPU-based computing knowledge and CUDA frameworks.
• Experience with Git, code review, automated testing, Docker and cloud platforms (AWS or Azure).
• Healthcare/clinical research experience is advantageous.
• Strong English communication skills.

Aufgaben

• Design, train, evaluate and refine ML/DL models for medical-image analysis.
• Implement modular, tested Python components for training, inference and reporting.
• Prepare and quality-check training/validation data with clinical/annotation teams.
• Run structured experiments, select metrics, perform error analysis and document results.
• Contribute to validation and verification documentation of AI software.
• Support deployment and monitoring under quality/regulatory procedures and enhance the shared tool stack.

Kenntnisse

Python

PyTorch

Numpy

Pandas

MONAI

Computer vision

Experimental design

Model evaluation

CUDA

Git

Automated testing

Docker

AWS or Azure

English communication

Ausbildung

Bachelor's or Master's degree in a quantitative field

Tools

Docker

AWS

Azure

Jobbeschreibung

Do you want to contribute to medical innovation? Then join our team at RetInSight, a Topcon Healthcare company!

Originally founded as a spin-off of the Medical University of Vienna, we transform cutting-edge research into impactful AI solutions for retinal image analysis. Our cloud-based technologies empower clinicians, elevate patient care, and address the leading eye diseases of our time. With your contribution, we can protect millions of people from preventable vision loss and blindness.

For the support of our growing and ambitious team, we are looking for an

Vienna – full-time – 38.5 hours/week – immediate start

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 toolstack. 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 Role/Responsibilities

• 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 validation and verification documentation of AI software.
• Support deployment and monitoring under applicable quality and regulatory procedures and contribute to a 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
• Knowledge of GPU-based computing and frameworks like CUDA
• 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

Our Offer

• 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.