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
- Solid 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

📌 Embedded Edge AI Engineer (Bengaluru)
🏢 Creative Synergies Group
📍 Bengaluru