Job Overview

role description

embedding intelligence into tomorrow's industry! as an embedded ai engineer, you'll develop innovative ai-driven embedded solutions for industrial automation systems. you'll implement advanced machine learning models optimized for real-time applications in embedded devices, transforming industrial products into intelligent, adaptive systems.

your responsibilities

• develop, optimize, and deploy embedded machine learning models.

• ensure performance, memory optimization, and energy efficiency of ai solutions.

• integrate ml algorithms with embedded controllers and edge computing platforms.

• collaborate closely with automation and software engineers to translate ai solutions into production-grade embedded systems.

our requirements

• degree in computer science, electrical engineering, or related field.

• strong proficiency in python, c/c++, and embedded programming.

• experience with embedded ml frameworks (e.g., tensorflow lite, onnx, edge impulse).

• understanding of real-time embedded systems and microcontroller architectures.

• minimum of 2 years of relevant experience with embedded systems and ai/ml