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

Austrian Institute of Technology -
Wien, W

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Details zur Stelle

Praktikum

Qualifikationen

Master

Vollständige Stellenbeschreibung

As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy and society.

Our AI TaskForce team located in Vienna invites applications for an internship. Our AI TaskForce is passionately advancing the internal AI landscape to drive innovation and efficiency within AIT. A primary focus lies in developing assistive AI tools that enhance workflows and foster knowledge exchange, empowering AIT’s researchers and staff to leverage AI technologies effectively in their work. In addition, we support organisation-wide AI capability building.

As part of our team, you will contribute to the development of a modern data platform for AI, data-driven research, and scientific reproducibility. Hereby, you will have the opportunity to gain practical experience and deepen your understanding of data governance, traceability, reproducibility, scalable data engineering, and sustainable technologies while learning from experienced researchers and engineers in an innovative environment.

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

AI TaskForce

You will support the development of a data platform for scientific reproducibility and AI applications.
With guidance from our experienced team members, you will learn and apply data governance concepts such as metadata management, traceability, provenance, lineage, and FAIR data principles.
You will help us 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, while expanding your understanding of AI development practices.

You will gain practical insights into technologies and practices related to data engineering, automation, CI/CD, and MLOps.
You will contribute to sustainable and reusable software components for research and innovation projects.
You will collaborate closely with experienced researchers, engineers, and domain experts and learn from real-world scientific and AI use cases.

Your qualifications:

You are currently enrolled in a master’s study programme in the field of 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, or reproducible research
Interest in open science, reproducible AI, and sustainable software engineering

Exposure to or first experience with the following areas would be an asset:

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
- gross per month for 38.5 hours per week. In addition, we offer flexible working conditions (including home-office options), networking and mentoring opportunities in a highly innovative environment, as well as additional benefits such as a company doctor, tea, coffee, fruit basket etc.

At AIT, we create an inclusive and family-friendly working environment that promotes equal opportunities and actively strengthens diversity across our workforce and in leadership positions. Among other initiatives, we are committed to increasing the proportion of women in our company and therefore particularly welcome applications from female applicants.

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

Apply now!

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Ich möchte aktuelle Job-E-Mails für Stellen als engineer (python) in mödling nö erhalten

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