AI Data Engineer (f/m/d)

GE HEALTHCARE; Zipf; Hybrid; EUR 68.000 - 83.000; Vollzeit

Benefits dieser Stelle

Flextime and flexible working hours

Free electric charging stations and on

Ample parking facilities on company

Birthday day off

Company shuttle to Zipf train station

Zusammenfassung

GE HealthCare is hiring an AI Data Engineer in Zipf, Austria to develop reusable data tooling, manage shared data infrastructure, and evaluate ultrasound-focused platforms worldwide.

In this hybrid role, you will turn requirements into tested solutions, design experiments, and collaborate across teams to standardize interfaces and improve data workflows while ensuring privacy, security, and compliance for healthcare data.

Qualifikationen

• Master’s degree in computer science, data engineering, software engineering, information systems, AI, or a related field.
• Hands-on experience developing and operating data pipelines, shared software tools, or AI development infrastructure.
• Practical knowledge of cloud environments, containers, Linux, and data workflow orchestration.
• 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.
• 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.

Aufgaben

• Translate cross-team requirements 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, interoperation 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.

Kenntnisse

Fluent English

Collaborative

Testing & documentation

Experiment design

Ausbildung

Master’s degree in computer science, data engineering, software engineering, information systems, AI, or related field

PhD in computer science, data engineering, software engineering, information systems, AI, or related field

Tools

Git

CI/CD

APIs

Docker/Kubernetes

Cloud platforms

Jobbeschreibung

Job Description Summary

As AI Data Engineer (f/m/d) in GE HealthCare’s Advanced Imaging Solutions business, you will develop reusable tools, operate shared data infrastructure, and evaluate platforms for ultrasound teams worldwide.

At GE HealthCare, our machines, our software, our solutions, our services, and our people make a genuine difference to medical professionals and patients all over the world. That’s because we never lose sight of what healthcare really needs—the human touch.

This position is hired in Zipf, Austia in hybrid work (min. 3 days per week in office).

Job Description

AI Data Engineer (f/m/d)

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.

GE HealthCare develops medical technology, pharmaceutical diagnostics, and digital solutions that help clinicians make informed decisions and improve patient outcomes. With more than a century of healthcare experience, we pursue a world where healthcare has no limits and embrace respect, transparency, integrity, and diversity.

Job Description

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.

Qualifications

Expected Qualification:

• Master’s degree in computer science, data engineering, software engineering, information systems, AI, or a related technical field.
• Hands‑on experience developing and operating data pipelines, shared software tools, or AI development infrastructure.
• Practical knowledge of cloud environments, containers, Linux, and data workflow orchestration.
• 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.
• 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.

Desired Qualification:

• PhD in computer science, data engineering, software engineering, information systems, AI, or a related technical field
• Experience with medical imaging or ultrasound data and healthcare data formats.
• Experience adapting team‑developed software into reusable components adopted by multiple teams.
• Familiarity with data catalogs, annotation tools, experiment tracking, model registries, and AI development platforms.
• Experience with infrastructure as code, observability, and improving the reliability or cost of data processing.

Personal Attributes:

• Collaborative and service‑oriented, with a willingness to understand local team needs and contribute to shared solutions.
• Systematic and self‑directed, with attention to testing, documentation, and dependable operation.
• Curious and adaptable, with a willingness to learn unfamiliar platforms and improve tools based on user feedback.

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

About us

GE HealthCare is a leading global medical technology and digital solutions innovator with over 100 years of healthcare industry experience and around 50,000 employees globally. We enable clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by our Edison intelligence platform. We operate at the center of an ecosystem working toward precision health - digitizing healthcare, helping drive productivity and improving outcomes for patients, providers, health systems and researchers around the world.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare - Creating a world where healthcare has no limits

Additional Information

Relocation Assistance Provided: Yes