How do I apply for the MLOps Intern position at AUMOVIO and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the MLOps Intern role?

This position is a part-time, structured as a not disclosed role, with an expected duration of 12 months.

What educational background or degree level is required for the MLOps Intern at AUMOVIO?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does AUMOVIO provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

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

AI & Machine Learning

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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