Vision AI Engineer

Vision AI Engineer ClearObject | United States (Hybrid) Join an extraordinary team in a rapidly evolving industry! ClearObject has been a pioneer in driving digital innovation for over a decade. We specialize in leveraging cutting-edge technologies such as edge-based artificial intelligence (AI), generative AI, Computer Vision, and Cloud solutions to transform raw data into actionable intelligence. Our solutions empower businesses across diverse industries to optimize operations, elevate customer experiences, and achieve sustainable growth. As a proud Google Premier Partner, Google GenAI Launch Partner, AWS Select Partner, and IBM Gold Business Partner, we are committed to driving environmental sustainability through our projects, ensuring that every contribution makes a positive impact. Job Summary We are seeking a highly motivated and experienced Vision AI Engineer to join our growing team focused on building and deploying advanced Vision AI solutions. In this role, you will partner with our lead engineers to specify, build, deploy and operate the full lifecycle of Vision AI initiatives. You will serve as the technical authority on Vision AI/ML, collaborating closely with data scientists, ML engineers, and customers to bring intelligent vision systems to production. This is an ideal role for a technically deep engineer with hands-on experience in computer vision, edge AI, and systems programming who thrives in a fast-paced, innovation-driven environment.

Vision AI Solution Scoping & Design • Support technical scoping engagements with customers to define Vision AI

, use cases, and success criteria. • Support the design of end-to-end Vision AI system architectures, including camera infrastructure, edge compute, networking, and cloud integration. • Create detailed documentation including system diagrams, network topologies, data flow diagrams, and deployment procedures. • Collaborate with data scientists and ML engineers to define model

, dataset strategies, and inference pipeline design. Hardware Configuration & Integration • Research, select, and procure hardware components — cameras, lenses, lighting, GPUs, edge compute units — matched to Vision AI workload