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
Who we are looking for
- 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
What we offer
- 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
Job Types
- Full-time, Part-time
Salary
- 40.000EUR to 45.000EUR per year based on full-time
