• Build and maintain scalable workflows and DevOps pipelines for our compute intensive machine learning workloads on-prem and in cloud environments
• Contribute to our internal products and open source projects
• Maintain and expand our on-prem GPU & CPU server infrastructure, from hardware to Kubernetes cluster management
• Continuous training and education, e.g. we sponsor your Kubernetes training and certification, you’ll be able to dedicate a full work month for this purpose

• Basic knowledge of Docker and Kubernetes, passionate to learn all about containerization technology
• Profound know-how in one or more programming languages, including Python
• References of activity in (smaller) software development projects, e.g. open source contributions, freelance work or personal interests
• Degree in computer science (BSc/MSc) or equivalent work experience (e.g. HTL)
• Self-driven problem solver who enjoys coding as much as tinkering
• Valid work permit for Austria

• Enthusiastic, research-driven team with rich expertise in machine learning, computer vision, generative adversarial networks, reinforcement learning as well as distributed training, data engineering, ML ops and cloud architecture
• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
• Perks, e.g. time allotment for the free pursuit of individual R&D projects, training or conference participations, hosting of meetups
• People first company culture, where we nurture your talents
• Flexible work arrangements: Home office and office location in Vienna's 1st district, minimum core times

• Support for all organizational and administrative tasks related to funding projects, including 
• Funding handling & accounting
• Establishment of cross-project controlling and reporting system
• Compilation of interim and final reports

• Experience in funding management of (consortium) research projects, for example in an academic environment
• Excellent knowledge of German and English (at least C1 level).
• Affinity for machine learning technologies is a plus
• Structured, accurate and proactive independent working style
• Interest in new technologies and their contribution to a modern working environment

We offer you a diverse and responsible job in a young startup that is growing rapidly in the AI environment and needs competent support along the way