Sensio
ML Engineer – Computer Vision: Build smarter, safer care technology
- Location
- NorwayOslo, NO
- Work setup
- Hybrid
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At a glance
Train and evaluate computer-vision models for Sensio’s sensor-driven care devices, optimising embedded inference for accuracy, memory and power. Maintain evaluation feedback loops and work close to hardware on production deployment. The Oslo role is hybrid and calls for relevant postgraduate training, strong vision and embedded-model experience, Python and frameworks such as PyTorch.
The work
- Train and evaluate computer-vision models for sensor-driven care devices.
- Optimise embedded inference for accuracy, memory and power, and maintain evaluation feedback loops.
AI product engineering on embedded, resource-constrained care hardware.
What you bring
- Relevant master’s degree or PhD, strong computer vision and embedded model-development experience.
- Python and ML frameworks such as PyTorch; edge inference and working close to sensors/hardware.
Practical details
- Employment
- See the original posting for this information.
- Seniority
- senior
- Salary
- Not disclosed in the reviewed source.
- Responsibility
- Individual contributor
- Work area
- AI/ML Engineering
Read the original posting ↗Employer information summarised by Nordic AI Jobs.