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Internship - AI Infrastructure(m/w/x)
Supporting AI platform development for medical imaging solutions. Basic AI/ML concepts and Python knowledge required. Flextime, free EV charging, birthday off.
Requirements
- Pursuing Bachelor's/Master's in Computer Science, Software Engineering, Data Science, or related field
- Basic understanding of AI/Machine Learning concepts
- Strong Python knowledge
- Familiarity with SQL
- Exposure to cloud platforms (AWS, Azure, GCP) is a plus
- Strong problem-solving skills
- Interest in learning new technologies
- Ability to multi-task effectively
- Handle tasks with competing priorities
- Excellent communication abilities
- Teamwork abilities
- Fluency in English (written and spoken)
- Interest and enjoyment of new topics and challenges
Tasks
- Support development and maintenance of AI platforms
- Contribute to medical imaging and diagnostic solutions
- Assist in designing AI infrastructure components
- Implement and optimize data pipelines
- Deploy and monitor AI models
- Collaborate with AI engineers and data scientists
- Understand and address infrastructure needs
- Participate in technology evaluations
- Integrate new tools for AI workflows
- Troubleshoot AI infrastructure issues
- Ensure high availability and performance
- Document technical specifications and procedures
- Automate infrastructure tasks
- Contribute to CI/CD pipelines
- Maintain cloud-based AI environments
Education
- Currently in higher education
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- AWS
- Azure
- GCP
- AI
- Machine Learning
Benefits
Flexible Working
- Flextime
- Flexible working hours
Parking & Commuter Benefits
- Free electric charging stations
- Ample parking facilities
- Company shuttle to Redl-Zipf train station
More Vacation Days
- Additional day off for birthday
Career Advancement
- Career opportunities
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Internship - AI Infrastructure(m/w/x)
Supporting AI platform development for medical imaging solutions. Basic AI/ML concepts and Python knowledge required. Flextime, free EV charging, birthday off.
Requirements
- Pursuing Bachelor's/Master's in Computer Science, Software Engineering, Data Science, or related field
- Basic understanding of AI/Machine Learning concepts
- Strong Python knowledge
- Familiarity with SQL
- Exposure to cloud platforms (AWS, Azure, GCP) is a plus
- Strong problem-solving skills
- Interest in learning new technologies
- Ability to multi-task effectively
- Handle tasks with competing priorities
- Excellent communication abilities
- Teamwork abilities
- Fluency in English (written and spoken)
- Interest and enjoyment of new topics and challenges
Tasks
- Support development and maintenance of AI platforms
- Contribute to medical imaging and diagnostic solutions
- Assist in designing AI infrastructure components
- Implement and optimize data pipelines
- Deploy and monitor AI models
- Collaborate with AI engineers and data scientists
- Understand and address infrastructure needs
- Participate in technology evaluations
- Integrate new tools for AI workflows
- Troubleshoot AI infrastructure issues
- Ensure high availability and performance
- Document technical specifications and procedures
- Automate infrastructure tasks
- Contribute to CI/CD pipelines
- Maintain cloud-based AI environments
Education
- Currently in higher education
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- AWS
- Azure
- GCP
- AI
- Machine Learning
Benefits
Flexible Working
- Flextime
- Flexible working hours
Parking & Commuter Benefits
- Free electric charging stations
- Ample parking facilities
- Company shuttle to Redl-Zipf train station
More Vacation Days
- Additional day off for birthday
Career Advancement
- Career opportunities
About the Company
GE Healthcare
Industry
Healthcare
Description
Das Unternehmen ist ein global führender Innovator für Medizintechnik und digitale Lösungen mit mehr als 100 Jahren Erfahrung im Gesundheitswesen.
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