Edge AI Engineer

Curious about working with cutting-edge AI and pushing the boundaries of technology? Join Sigma Connectivity’s global team, building smart, privacy-first solutions with computer vision, audio intelligence, and embedded ML. Grow professionally and personally while contributing to exciting international projects. Don’t miss this opportunity, apply now! About the role As an ML Engineer at Sigma, you will contribute to the development of advanced edge AI solutions. This role involves designing, optimizing, and deploying machine learning models directly on embedded devices, working within a dynamic cross-functional team. You will drive innovation in areas like computer vision and sensor fusion, ensuring cutting-edge AI capabilities are integrated into real products. This is an opportunity to work with AI that is actually deployed in end products, where your work has direct impact on users. You will join an environment focused on innovation, collaboration, and continuous development. You are offered The opportunity to work on cutting-edge AI projects that shape the future of technology Challenging and diverse projects that push your skills and expertise to the next level A chance to grow your career within a global company, supported by an innovative and collaborative team A strong focus on work-life balance, with flexible hours and options for remote work Work tasks This role focuses on developing and optimizing ML models for tasks such as gesture recognition, defect detection, object tracking, and contextual human-machine interaction, deployed on edge hardware including Qualcomm, NVIDIA, NXP, and other MCU-class systems. Design, train, and validate ML models for computer vision, sensor fusion, and predictive analytics. Develop and optimize ML pipelines for on-device inference, including quantization and DSP/NPU acceleration. Build data ingestion, preprocessing, and feature-engineering pipelines for edge and hybrid deployments. Work with cross-functional teams to