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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Internship - AI Data Management

getzhealthcare
Found 6 days ago
Location
Zipf, Austria
Time
Full-time
Work Mode
On-site
Salary
role specific compensation and a competitive salary and fringe benefit package
Visa Help
Not disclosed
Last Verified
6 days ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python

Soft Skills

  • Strong attention to detail
  • organizational skills
  • Ability to work independently
  • Ability to work as part of a team
  • Excellent communication
  • problem-solving abilities

Job Description

In this 1 year Internship you will support the AI data management activities. 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. Job Description Job Summary Join GE Healthcare Austria GmbH & Co OG as an AI Data Management Intern, contributing to the development and optimization of AI solutions through effective data handling and organization. Responsibilities Assist in the collection, cleaning, and labeling of diverse datasets for AI model training and validation. Support the implementation and maintenance of data management systems and databases. Participate in data quality assurance activities, identifying and resolving inconsistencies. Collaborate with AI engineers and researchers to understand data requirements and improve data pipelines. Document data management processes, workflows, and data dictionaries. Contribute to the research and evaluation of new data management tools and techniques. Help ensure data compliance with relevant privacy regulations and company policies.

Requirements

  • Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, Information Technology, or a related field.
  • Basic understanding of data management principles and database concepts.
  • Familiarity with Python
  • Strong attention to detail and organizational skills.
  • Ability to work independently and as part of a team.
  • Excellent communication and problem-solving abilities.
  • Proficiency in English; German language skills are a plus.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • German language skills
▶Apply Now

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