Job DescriptionDevelop your software craftsmanship as a key member of our team in a supportive environment with an exceptional team of machine learning engineersBuild and maintain scalable workflows and DevOps pipelines for our compute intensive machine learning workloads on-prem and in cloud environmentsContribute to our internal products and open source projectsMaintain and expand our on-prem GPU & CPU server infrastructure, from hardware to kubernetes cluster managementContinuous training and education, e.g. we sponsor your Kubernetes training and certification, you’ll be able to dedicate a full work month for this purposeRequirementsBasic knowledge of Docker and Kubernetes, passionate to learn all about containerization technologyPr
Develop your software craftsmanship as a key member of our team in a supportive environment with an exceptional team of machine learning engineers
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
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