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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

6Open Positions

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    Zipf, Austria
    Found 6 days ago
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Internship - AI Infrastructure

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 reflecting your profile and experience. The internship salarydepends on the KV Elektro- und Elektronikindustrie, and is dependent on school level and area of responsibility
Visa Help
Not disclosed
Last Verified
6 days ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • AI/Machine Learning
  • AWS
  • Azure
  • GCP
  • CI/CD

Soft Skills

  • problem-solving skills
  • keen interest in learning new technologies
  • Ability to multi-task
  • handle tasks with competing priorities effectively
  • communication abilities
  • teamwork abilities

Job Description

As an AI Infrastructure Intern at GE Healthcare Austria, you will support the development and maintenance of scalable and robust AI platforms, contributing to cutting-edge medical imaging and diagnostic solutions. Responsibilities *Assist in the design, implementation, and optimization of AI infrastructure components, including data pipelines, model deployment, and monitoring systems. Collaborate with AI engineers and data scientists to understand their infrastructure needs and provide technical support. Participate in the evaluation and integration of new technologies and tools to enhance AI development workflows. Help troubleshoot and resolve issues related to AI infrastructure, ensuring high availability and performance. Document technical specifications, configurations, and procedures for AI infrastructure. Contribute to the automation of infrastructure tasks and continuous integration/continuous deployment (CI/CD) pipelines. Support the maintenance of cloud-based AI environments (e.g., AWS, Azure, GCP).

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
  • Basic understanding of AI/Machine Learning concepts and workflows.
  • Strong knowledge of Python, familiarity with SQL.
  • Exposure to cloud platforms (e.g., AWS, Azure, GCP) is a plus.
  • Strong problem-solving skills and a keen interest in learning new technologies.
  • Ability to multi-task and handle tasks with competing priorities effectively.
  • Excellent communication and teamwork abilities.
  • Fluency in English (written and spoken).

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Exposure to cloud platforms (e.g., AWS, Azure, GCP)
▶Apply Now

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