Job
In this role, you will develop tools and data pipelines, conduct experiments for ultrasound platforms, and support teams in implementing AI solutions to enhance efficiency and quality in data processing.
Job summary
Job technologies
Your role in the team
- As AI Data Engineer in GE HealthCare's Advanced Imaging Solutions business, you will develop reusable tools, operate shared data infrastructure, and evaluate platforms for ultrasound teams worldwide.
- Working with local teams and infrastructure owners, you will turn requirements into tested solutions and help teams adopt and operate common tools.
- In this role you will:
- Work with AI technical leaders to translate cross-team requirements, reference architectures, and priorities into working solutions and operational procedures.
- Design and run reproducible experiments, proofs of concept, and benchmarks on third-party and internal data management and AI development platforms using representative ultrasound team workflows.
- Assess functional fit, interoperability, performance, scalability, usability, integration effort, and operating cost against agreed requirements. Document methods, results, limitations, and recommendations to inform platform selection.
- Collaborate with individual teams to extend internally developed tools for use across the ultrasound organization. Refactor team-specific assumptions into configurable modules and standardize interfaces to increase reuse.
- Develop and maintain shared libraries, services, and connectors, with automated tests, versioned packages, and deployment workflows that make adoption and maintenance easier for other teams.
- Build and operate data ingestion, transformation, and validation pipelines supporting data curation, annotation, dataset preparation, and AI development.
- Carry out day-to-day operation of agreed shared tools and environments, including configuration, updates, job monitoring, troubleshooting, and performance tuning, in coordination with platform owners.
- Support teams with platform onboarding, tool integration, and data or workflow migrations, and provide practical feedback on gaps in shared infrastructure.
- Implement data quality checks, logging, and traceability, and automate approved data access, de-identification, and retention workflows with guidance from the responsible specialists.
- Investigate pipeline and platform failures, reproduce issues, and work with internal platform teams or external vendors to resolve root causes and prevent recurrence.
- Create user guides, integration examples, and operational runbooks; provide training and technical support so teams can adopt, operate, and contribute to shared tools.
Our expectations of you
Education
- Master's degree in computer science, data engineering, software engineering, information systems, AI, or a related technical field.
Qualifications
- Practical knowledge of cloud environments, containers, Linux, and data workflow orchestration.
- Ability to design controlled technical experiments, benchmark platforms, and communicate results and trade-offs clearly.
- Understanding of AI data workflows, including curation, annotation, dataset versioning, and training and validation data preparation.
- Awareness of security, privacy, and traceability requirements when handling healthcare data.
- Fluent English and the ability to collaborate with globally distributed engineering, data science, and infrastructure teams.
- PhD in computer science, data engineering, software engineering, information systems, AI, or a related technical field
- Familiarity with data catalogs, annotation tools, experiment tracking, model registries, and AI development platforms.
Experience
- Hands-on experience developing and operating data pipelines, shared software tools, or AI development infrastructure.
- Strong programming skills in Python and SQL, with experience designing APIs, integrating services, and working with structured and unstructured data.
- Experience with Git, automated testing, code review, continuous integration and delivery, and maintainable software packaging.
- Experience with medical imaging or ultrasound data and healthcare data formats.
- Experience adapting team-developed software into reusable components adopted by multiple teams.
- Experience with infrastructure as code, observability, and improving the reliability or cost of data processing.
What we offer
- We offer a role specific compensation and a competitive salary and fringe benefit package reflecting your profile and experience.
- In Austria we are required to state the minimum pay. For this position, the annual compensation package starts at € 75.000. We will be pleased to discuss the appropriate effective salary based on your qualifications and experience.
- An exciting and diverse range of responsibilities in a growth-oriented company.
- An interdisciplinary team and an international work environment.
- Flextime and flexible working hours.
- Free electric charging stations and ample parking facilities on the company premises.
- An additional day off for your birthday.
- Convenient public transportation access with a complimentary company shuttle to the Redl-Zipf train station, located 2 km away.
Benefits
Work-Life-Integration
Food & drink
Health, fitness & fun
Topics you will work on
Job locations
About your employer
GE Healthcare
Vöcklamarkt
GE Healthcare is a leading provider of medical technologies and services, backed by the trusted name of General Electric.
- Established Company
- Hybrid, Onsite
- Pharmaceutical Sector, Chemical Industry, Biotech
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