How do I apply for the AI Machine Learning Engineering Intern position at welocalize 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 AI Machine Learning Engineering Intern role?

This position is a full-time, structured as a not disclosed role.

What educational background or degree level is required for the AI Machine Learning Engineering Intern at welocalize?

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

Does welocalize 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.

AI Machine Learning Engineering Intern

welocalize

Found 2 months ago

Location

Thessaloniki, Greece

Time

Full-time

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

2 months ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

machine learning
LLMs
Python
scikit-learn
TensorFlow
PyTorch
Git
Docker
cloud services

Soft Skills

curiosity
problem-solving attitude
willingness to ask questions
Clear written and verbal English communication

Job Description

The AI/ML Engineering Intern assists with the AI/ML team to design, prototype, and deploy machine-learning solutions that enhance Welocalize’s localization and business-workflow products. They contribute code, experiments, and ideas while gaining hands-on experience with cloud infrastructure and production best-practices, supported by dedicated mentors.

Requirements

Completed or actively pursuing a BSc or MSc in Computer Science, Data Science, or a related field (final-year undergraduates welcome)
Coursework or personal projects in machine learning or NLP, solid Python fundamentals, hands on experience with LLMs
Familiarity with at least one ML library such as scikit-learn, TensorFlow, or PyTorch, experience with Git
Basic knowledge of Docker or cloud services is a plus
Clear written and verbal English communication, curiosity, problem-solving attitude, and willingness to ask questions

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

Basic knowledge of Docker or cloud services is a plus

Apply Now

4Open Positions