Embedded Edge AI Engineer

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