Description
The role is a 12-month Edge AI Engineer position focused on designing and deploying high-performance computer vision and machine learning pipelines on resource-constrained edge hardware. Responsibilities include optimizing concurrent ML workloads, integrating edge-AI algorithms with Android camera and multimedia subsystems, collaborating with software and hardware teams, and profiling memory, power, and execution timing. Required qualifications include a bachelor’s degree in a relevant technical field, Python, C, and C++ proficiency, experience with TensorFlow Lite, ONNX Runtime, or PyTorch Edge, Android platform knowledge, computer vision fundamentals, and previous AI experience.
