Internship in AI/ML 2026

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
• What we have to offer:
• Benefits to Participants:
• Practical Experience: Hands-on work with leading technologies in cloud computing, data processing, and full-stack development.
• Mentorship: Guidance from experienced professionals in the industry.
• Networking: Opportunities to connect with industry experts and potential future employers.
• Recruitment process ✍️ ?
• HR Interview: Meet Andreea our Recruiter for a coffee chat of 30 minutes via video call
• Meet our Tribe Leaders for an in depth technical discussion

Benefits

Additional Information

Project Overview: 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. Focus: We are looking for a versatile student who is passionate about both AI development and the underlying systems that make AI reliable. You will act as the bridge between data science and software engineering, ensuring that advanced AI models are not just functional, but production-ready, secure, and easily deployable.

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