Key Responsibilities
- Develop ML models for vision intelligence
- Improve existing ML layers and modules
- Build data pipelines (knowledge of backend programming in Python is required)
- Build frontend and backend applications as required
- Train models using adversarial networks
- Optimize inferencing software to run at better frame rates
- Work on video pipelines and manipulate frames using OpenCV
- Design Gstreamer pipelines and work with Deepstream
- Handle cloud server programming for training and inferencing of the models
About Company: Stackfusion Private Limited, as an innovator in the area of IoT and artificial intelligence, assembles its own controller and Edge AI units with the hardware being our intellectual property. Similarly, the POS devices are android devices customized by us which are specifically enabled for open parking in India to handle multi-frequency RFID tag reading.
The customized device can read a FASTag as well as an NFC tag at the same time (both operating at different frequency ranges) so that both 4-wheelers and 2-wheelers can experience cashless and paperless parking experience.
