Job
- Level
- Lead
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 62.800 € Gross/Year
- Location
- Linz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop AI solutions for healthcare, lead a team of engineers and scientists, and ensure the integration of models into clinical applications.
Job Technologies
Your role in the team
- Design and lead the development of AI solutions, from prototypes to production systems, using structured and unstructured healthcare data.
- Build scalable, secure ML pipelines and deploy models into real-world clinical or operational workflows.
- Hire, mentor, and manage a growing team of AI engineers, data scientists, and ML specialists.
- Establish engineering best practices for AI development, MLOps, model versioning, and continuous delivery.
- Collaborate closely with product managers, clinical leaders, hospital operations, and the broader development department to align AI efforts with platform architecture, software design, and user-facing applications.
- Work with software engineers to integrate AI functionality into clinical apps, backend services, and internal tools.
- Communicate technical and strategic decisions to stakeholders in both engineering and non-technical domains.
- Apply state-of-the-art AI platforms such as OpenAI, Gemini, or Anthropic to build LLM-powered tools.
- Champion the use of AI developer tools like GitHub Copilot, Windsurf, and prompt engineering frameworks to accelerate team efficiency.
- Lead evaluations of open-source tools and cloud-based platforms to continuously evolve our AI ecosystem.
- Define requirements for data ingestion, curation, and access in partnership with IT and DevOps.
- Ensure compliance with healthcare regulations and promote responsible AI practices.
This text has been machine translated. Show original
Our expectations of you
Education
- Degree in Computer Science, Engineering, Data Science, or related field.
Qualifications
- Proven leadership in building AI products and/or teams, ideally in healthcare or similarly complex domains.
- Strong coding skills in Python and relevant ML tooling (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).
- Comfortable navigating cross-functional environments and translating technical plans into cross-team action.
Experience
- 3+ years of experience in AI/ML engineering or software development, with a strong track record of delivering production AI systems.
- Hands-on experience with modern LLMs and AI platforms (OpenAI, Gemini, Claude, etc.).
- Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, CI/CD).
This text has been machine translated. Show original
Benefits
Work-Life-Integration
- 🚌Excellent Traffic Connections
- 🏠Home Office
- 🅿️Employee Parking Space
- 🐕Animals Welcome
- ⏰Flexible Working Hours
- 🕺No Dresscode
- 🧳Relocation Support
- 😇Time for External Voluntary Work
Health, Fitness & Fun
- 🎳Team Events
- 🧠Mental Health Care
- 🙂Health Care Benefits
- 💰Team Budget for Free Use
- ♿️No Physical Barriers
- 🧘♀️Massage, Yoga, etc.
- 🏋🏿 ♂️Fitness Offers
More net
Food & Drink
Job Locations
Topics that you deal with on the job
This is your employer
CompuGroup Medical (CGM)
Steyr, Graz, Hall In Tirol, Salzburg, Steyr, Wiener Neudorf, Martinsried, St. Pölten, Wien, Sankt Pölten, Sankt Pölten, Asten, Wien, Linz, Erlangen, Idstein, Koblenz, Bochum, Hamburg
The CGM Clinical Österreich GmbH (formerly known as Systema Human Information Systems GmbH) is the largest provider of medical software in Austria. This company headquartered in Steyr/OÖ optimizes all doctor and organizational activities within hospitals and health care facilities with its integrated information services.
Description
- Company Size
- 250+ Employees
- Founding year
- 1972
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Healthcare, Social Sector, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(4 Reviews)Career Growth
3.5Culture
3.3Workingconditions
3.8Engineering
3.1