Job
In dieser Position entwickelst du Werkzeuge und Datenpipelines, führst Experimente für Ultraschallplattformen durch und unterstützt Teams bei der Implementierung von AI-Lösungen, um Effizienz und Qualität in der Datenverarbeitung zu fördern.
Job-Zusammenfassung
Job-Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- Master's degree in computer science, data engineering, software engineering, information systems, AI, or a related technical field.
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- 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
Essen & Trinken
Gesundheit, Fitness & Fun
Themen, mit denen du dich im Job beschäftigst
Job-Standorte
Das ist dein Arbeitgeber
GE Healthcare
Vöcklamarkt
GE Healthcare ist ein Tochterunternehmen von General Electric, einem der führenden Anbieter von medizintechnischen Lösungen und Dienstleistungen.
- Etablierte Firma
- Hybrid, Onsite
- Pharma, Chemie, Biotech
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