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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open Positions

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Data Science Internship

Caterpillar
Found 1 month ago
Location
Prague, Czechia
Time
Part-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • machine learning
  • AI
  • Generative AI
  • Git
  • cloud platforms
  • AWS
  • GCP
  • Azure
  • Docker

Soft Skills

  • Ability to work in a team
  • good communication skills
  • Curiosity
  • willingness to learn

Job Description

We are looking for motivated university students who want hands‑on experience with AI, Machine Learning, and Generative AI (LLMs). This part‑time position allows you to work on real projects during your studies. What You Will Work On * Helping test, apply, and improve generative AI models (especially large language models) * Supporting the development of machine learning models used in Digital Twins and predictive analytics * Working with different types of data, including time‑series, text, structured and unstructured data * Assisting with data preprocessing and preparing data for model training * Helping build simple AI/ML pipelines * Collaborating with software engineers, data scientists, and mechanical engineers * Writing basic documentation to track experiments and solutions * You will receive support and guidance from experienced team members.

Requirements

  • university student in Computer Science, AI, Data Science, or a similar field
  • Basic Python programming skills
  • Basic understanding of machine learning concepts
  • Interest in AI and Generative AI
  • Experience with Git or similar version control tools
  • Familiarity with cloud platforms (AWS, GCP, Azure) or Docker is an advantage
  • Experience from school projects, hobby projects, or internships is welcome
  • Ability to work in a team and good communication skills
  • Curiosity and willingness to learn

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Nice to Haves

  • Familiarity with cloud platforms (AWS, GCP, Azure) or Docker is an advantage
  • Experience from school projects, hobby projects, or internships is welcome
▶Apply Now

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