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Paid Internship
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Time Spent
Required Degree
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21Open Positions

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Internship in AI/ML 2026

Devoteam | Microsoft Partner
Found 2 months ago
Location
Machelen, Belgium
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Skills & Qualifications

Technical Skills

  • Python
  • AWS
  • Streamlit
  • Boto3
  • LangChain
  • CI/CD
  • Infrastructure as Code (IaC)
  • Generative AI
  • Large Language Models (LLMs)
  • Cloud Native

Soft Skills

  • Automation Mindset
  • Problem Solving

Job Description

We are entering an era where Generative AI is no longer just a trend but a core business requirement. Our AWS AI/ML team is launching the Enterprise GenAI Accelerator project. This internship offers a unique opportunity for one student to build a production-ready "Accelerator" designed for consultancy teams to demonstrate and deploy high-tier GenAI capabilities on AWS. It provides a perfect foundation for a master's thesis, focusing on the synergy between Large Language Models (LLMs) and modern cloud automation. Project Description: The goal is to create a modular, multi-tenant-ready chatbot architecture. This project is built on two fundamental pillars: GenAI Excellence and DevOps Leadership. Using a Python-native stack (Streamlit, Boto3, LangChain), you will develop a decoupled back-end capable of sophisticated reasoning, while simultaneously building the CI/CD pipelines and Infrastructure as Code (IaC) required to deploy this solution at scale.

Requirements

  • Programming: Strong proficiency in Python (the primary language for both AI logic and infrastructure).
  • Cloud Knowledge: Familiarity with AWS services and a strong interest in "Cloud Native" development.
  • Automation Mindset: A desire to automate everything, from model testing to cloud resource provisioning.
  • Problem Solving: Ability to navigate complex documentation and integrate emerging AI tools.
  • Dutch language - fully proffesional level

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • Dutch
▶Apply Now

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