AI Data Engineer

• Easy Apply
• 90k - 90k €
• Hybrid
• Vollzeit

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• Hybrid
• Onsite

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• 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., * 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., * 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., * 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., GE Healthcare ist ein Tochterunternehmen von General Electric, einem der führenden Anbieter von medizintechnischen Lösungen und Dienstleistungen.

Unternehmenstyp Etablierte Firma

Arbeitsmodell Hybrid, Onsite

Branche Pharma, Chemie, Biotech, Sc24 Styll Gmbh·Wien

• Easy Apply
• Onsite

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