Role
Embedded Edge AI Engineer
Experience
3-8 Years
Educational Qualification
B.E / B. Tech, M.E/ M. Tech
Location
Bangalore
Technical Competencies
Embedded C, AI/ML, Edge AI
Job Description:
Experience working with AI capable MCU’s or GPU’s
Knowledge on AI/ML edge inference for vision systems
Deploying ML/DL models on embedded device and guiding team on optimizing AI workloads.
Hands-on experience working with camera subsystems and with FPGA based image processing
Strong understanding on various hardware peripheral protocols (Ethernet, I2C, SPI, Ethernet, UART, MIPI-CSI2)
Deploying ML/DL models on embedded device and guiding team on optimizing AI workloads.
Hands-on experience working with camera subsystems and with FPGA based image processing
Experience working with media frameworks like GStreamer and familiarity with OpenCV
Strong expertise in Embedded C or C++, Python/scripting and low-level firmware working with various processors.
Experience working with various Edge containerization platforms (Dockers, Kubernetes, etc.)
Job Features
Job Category
Digital Technologies
