Internship in the field of “Data Platform For AI & Scientific Reproducibility”

AI TaskForce

As Austria's largest research and technology organisation for applied research, AIT is dedicated to making substantial contributions to solving major challenges such as climate change and digitalisation. The AI TaskForce team located in Wien invites applications for an internship.

As part of the team, you will contribute to the development of a modern data platform for AI, data-driven research, and scientific reproducibility. You will gain practical experience and deepen your understanding of data governance, traceability, reproducibility, scalable data engineering, and sustainable technologies.

Tasks

• You will support the development of a data platform for scientific reproducibility and AI applications.
• You will learn and apply data governance concepts such as metadata management, traceability, provenance, lineage, and FAIR data principles.
• You will help to design and implement data pipelines for large-scale scientific and AI datasets.
• You will support reproducible machine learning workflows, including experiment tracking and versioning concepts.
• You will gain practical insights into data engineering, automation, CI/CD, and MLOps.
• You will contribute to sustainable and reusable software components for research and innovation projects.
• You will collaborate with experienced researchers, engineers, and domain experts.

Your qualifications

• You are currently enrolled in a master’s study programme in Computer Science, Data Science, Artificial Intelligence, Linguistics or a closely related field.
• Good programming skills in Python.
• Basic understanding of data engineering, data pipelines, and data science workflows.
• Good understanding of large data structures and data-oriented software design.
• Familiarity with IT-based data architectures, databases, or distributed systems.
• Ability to work independently and learn new technologies quickly.
• Interest in AI, machine learning, scientific computing, reproducible research, open science, reproducible AI, and sustainable software engineering.

Assets

• MLflow, experiment tracking, or model lifecycle management.
• C++, CI/CD, Git, Docker, or automated testing.
• Cloud, HPC, or containerized environments.
• Metadata standards, data lineage, provenance tracking, or FAIR principles.

What to expect

• Duration of the internship: 5 to 6 months.
• Start date: July / August 2026.
• Remuneration of EUR 1.461 gross per month for 38.5 hours per week.
• Flexible working conditions including home-office options, networking and mentoring opportunities, company doctor, tea, coffee, and fruit basket.

Please submit your complete application documents online, consisting of your CV, cover letter, relevant certificates and documents, as well as proof of identity.

Apply now