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Paid Internship
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46196Open Positions

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MLOps Intern

AUMOVIO
Found 2 months ago
Location
Budapest, Hungary
Duration (Months)
12 Months
Time
Part-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Computer Science
  • Electronics
  • Electrical Engineering
  • Python
  • PyTorch
  • CI/CD
  • Linux
  • Docker

Soft Skills

  • collaborative
  • open-minded
  • enjoys working in a team
  • curious
  • enthusiastic about debugging complex issues
  • Learns quickly
  • can manage tasks independently

Job Description

As an MLOps Intern, you will work closely with our MLOps engineers to develop more automated and efficient workflows. You will join our efforts to improve and optimize our platform and AI development practices in different AI developer teams. Your responsibilities will include: * Developing CI/CT workflows * Supporting projects in debugging and profiling performance issues * Contributing to the containerization of AI trainings * Developing features for our in-house GPU cluster * Supporting the capacity forecast and capacity management of our cluster * Helping to define best practices for AI development

Requirements

  • ongoing studies at a Hungarian university for at least further 12 months in one of the areas: Computer Science, Electronics, Electrical Engineering
  • at least B2-level proficiency in English
  • collaborative, open-minded, and enjoys working in a team
  • curious about cutting-edge technologies and industry best practices
  • enthusiastic about debugging complex issues
  • Learns quickly and can manage tasks independently

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Practical experience with machine learning
  • Deep understanding of the machine learning development lifecycle, including data preparation and model training
  • Strong Python development skills and familiarity with frameworks such as PyTorch
  • Understanding of CI/CD concepts and common automation tools
  • Understanding of software architecture principles and industry best practices for modern software development
  • Experience with Linux environments
  • Experience with virtualization and containerization technologies (e.g., Docker)
▶Apply Now

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