Your tasks
- Building and deploying an infrastructure to enable our machine learning engineers to work with state-of-the-art tools and technologies
- Operating Applications and Services in a Machine Learning Environment
- Continuous Improvement of Our Data Strategy
- Development and Maintenance of CI/CD Pipelines
- Preparation of the relevant documentation
- Active communication and coordination with our R&D partner, SCCH
Your qualifications and strengths
- You are proficient in functional programming languages such as C/C++ (CUDA) and Python
- Knowledge of software operations, such as deployment, monitoring, and performance analysis
- Experience with Git, DevOps, and, ideally, machine learning pipelines
- Experience with well-known AI/ML libraries (e.g., TensorFlow, Scikit-learn)
- You approach technical issues from the customer’s perspective and actively participate in forward-looking product development
- Passion for developing cloud-based web applications
- High product quality is achieved through the collaboration of all those involved as a team and through continuous improvement.
- Experience in the technical management of projects is a plus
Your benefits
- Opportunity to build a team and take on the technical leadership of our projects
- A high degree of personal responsibility and short decision-making processes
- Work-Life Balance – Flexible Work Schedules and Hybrid Work Models (Office & Remote)
- A high degree of creative freedom—as part of the solution, you can contribute at every level
- Diverse career opportunities as part of a growing startup
- A state-of-the-art work environment on the JKU campus and collaboration with research institutes
- Plenty of room to experiment and grow both professionally and personally
- Top hardware for your productivity
- Regular Team and Startup Events