Forskningsingenjör inom AI för media och språk
Core
Design, implement, and operate a machine learning platform for the WARA Media and Language research community, supporting benchmarking challenges and summer school projects.
Role type
Senior Research Engineer (ML Infrastructure)
Builds
ML platform, data hosting services, and benchmarking infrastructure for academic and industrial partners
Domain
Academic research, AI, Machine Learning, Natural Language Processing
Deliverable
production ML models | infrastructure
Required skills
Machine learning, software development, distributed development environments, AI platform components, data collection and structuring, Linux system administration, Python, APIs, containerization, CI/CD tools
Preferred skills
Front-end/back-end development, scientific research in ML/AI, technical support for ML infrastructure, teaching/mentoring, Unity/Blender/Unreal Engine, Kubernetes, MLOps/AIOps frameworks
Technologies
Python, Docker, Singularity, GitHub, Linux, Kubernetes, MLOps
Responsibilities
Conduct interviews with partners to define system needs, design and implement the ML platform, manage datasets and provide data annotation services, support benchmarking challenges (GENEA, VOT), implement student projects for the WASP Summer School, provide user support
Seniority
Senior, hands-on IC
