We are seeking an AI/ML Engineer for Zenodo, the world's largest general-purpose research repository.

As a successful candidate you will design, develop, and deploy intelligent automation tools that enhance large-scale research repositories. Your role will involve building and optimising machine learning models for information extraction, classification, and validation, as well as integrating them into production-grade infrastructure. You will contribute to creating human-in-the-loop AI agents that support metadata generation, curation, and quality assurance, ensuring transparency, scalability, and efficiency. Finally you will collaborate with cross-functional teams on model evaluation, infrastructure deployment, and user-interface interface development, with a focus on solutions that advance open science and FAIR data practices.

Eligibility criteria:

• You are a national of a CERN Member or Associate Member State.
• By the application deadline, you have a maximum of two years of professional experience since graduation in Software engineering and data science (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree.
• You have never had a CERN fellow or graduate contract before.
• Applicants without University degree are not eligible.
• Applicants with a PhD are not eligible.