Edge AI/Computer Vision Engineer

Concept […], part of the […] Network, is a leader in IoT solutions. We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond in all aspects of Internet of Things (IoT) and Cloud Computing. From designing and developing customized IoT solutions to implementing and managing them seamlessly, Concept […] helps customers unlock the potential of IoT.

We are seeking a Computer Science or Computer Engineering graduate for an engagement deploying AI-driven computer vision for industrial safety, working alongside our data and AI engineering team and the client's controls engineers on real, on-site deliverables.

• Install, configure and calibrate smart cameras at manufacturing sites for human detection in restricted areas
• Train, optimize and deploy object detection models on edge hardware (AXIS ACAP)
• Build and maintain the containerized software stack on Linux, managed through GitOps workflows (Git as source of truth, automated build/test/deploy)
• Collaborate with controls engineers to translate detection events into machine signals (e.g., stop a machine when a person is too close) and validate end-to-end behavior
• Monitor model performance in the field, collect edge cases and iterate on datasets and models, with growing autonomy over the engagement

• Bachelor's degree (completed or final year) in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• Strong foundat