AI:AT - the AI Factory Austria - is making Austria a hotspot for Artificial Intelligence in Europe.

AI:AT is a joint project of AIT and Advanced Computing Austria . It brings together top-level expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects.

AI:AT - the AI Factory Austria - provides access to cutting-edge AI infrastructure, promotes trustworthy AI and ethical standards, and serves as a hub for networking with national and European partners. The goal is to work with partners from industry and public institutions to develop and implement forward-looking AI technologies and viable AI solutions.

As part of the collaboration within the AI Factory Austria, INiTS - Vienna’s High Tech Incubator will delegate experts to the AI Factory Austria. For our location in Vienna , we are seeking a:

AI:AT - AI Factory Austria

• Mentor and advise teams on designing, building, and optimising AI pipelines with a focus on applied ML, responsible AI principles, and engineering best practices.
• Plan, develop, and deliver advanced AI training formats, including workshops and custom content on LLM fine-tuning, distributed model training, and retrieval-augmented generation (RAG) setups.

• Provide guidance on infrastructure and tooling for production- ready AI solutions, including model versioning, orchestration, CI/CD, and scaling across compute environments (e.g. HPC, cloud, hybrid).
• Support the development of AI applications end-to-end, with emphasis on domains such as intelligent search and information retrieval.
• Collaborate with curriculum and product teams to align training content with evolving startup needs and product-market relevance.
• Actively contribute to the technical community through demos, knowledge-sharing formats, and lightweight internal documentation.

Your qualifications:

• 5-7 years of industry experience designing and deploying ML solutions, ideally including production use cases
• Proven ability to deliver technical training formats with clarity and hands-on depth
• Strong proficiency in machine learning frameworks such as PyTorch, TensorFlow, scikit-learn
• Familiarity with distributed computing platforms (e.g. Spark, Ray, Dask), and orchestration tools like Airflow, Prefect, or Metaflow
• Experience with containerization (Docker), infrastructure orchestration (Kubernetes, SLURM), and ML pipeline automation (MLflow, Weights & Biases)
• Hands-on expertise in fine-tuning, quantisation, pruning, and evaluation of large language models (LLMs) and RAG-based systems
• Ability to work independently, drive initiatives, and collaborate across teams including curriculum and marketing functions
• Strong communication skills with the ability to explain complex technical topics to diverse audiences.
• You should be eligible for working in Austria.

What to expect:

• A supportive and inclusive work environment
• Opportunities for professional growth and development
• A flexible schedule with on-site and remote working opportunity
• The annual gross salary is based on the collective agreement for information and consulting. In addition to a competitive salary, we offer a benefits package, including health insurance, paid time off, and retirement plans.
• The chance to make a meaningful impact within the AI Factory Austria and the AI community in Austria
• The position is funded by the AI Factory Austria until June 2028. An extension beyond this period may be possible depending on future project development.

Please make sure to submit your complete application documents consisting of your CV, cover letter