Computer Vision Architect (Automotive & Energy)

Our client is a global leader in advanced energy storage solutions, specializing in the design and manufacturing of automotive batteries. Headquartered in Milwaukee, Wisconsin, the company serves major automakers and aftermarket retailers, producing over 150 million batteries annually and powering 1 in 3 vehicles worldwide. With operations in more than 50 countries, the company focuses on innovative and sustainable battery technologies for conventional, hybrid, and electric vehicles, supporting the evolving mobility ecosystem.

• Proven experience designing and delivering production-grade computer vision solutions
• Strong knowledge of computer vision architecture, model development, and real-time inference
• Experience taking computer vision solutions from proof of concept through production deployment and ongoing support
• Experience designing scalable and repeatable platforms for deployment across manufacturing plants and production lines
• Experience designing solutions integrating cameras, edge devices, on-premises infrastructure, cloud services, and enterprise applications
• Experience integrating computer vision solutions with manufacturing equipment and operational systems
• Ability to assess camera placement, lighting, image quality, hardware, latency, and environmental requirements
• Experience establishing MLOps practices, including model testing, deployment, monitoring, versioning, and retraining
• Strong software architecture and systems integration expertise
• Understanding of manufacturing operations and Overall Equipment Effectiveness metrics (availability, performance, quality)
• Ability to translate business and manufacturing challenges into scalable technical solutions
• Hands-on technical leadership experience, including solution design, prototyping, reviews, troubleshooting, and guidance for engineers, developers, and data scientists
• Strong communication skills working with executive, business, plant, and technical stakeholders
• Experience deploying solutions across multiple sites or facilities is a plus

• Lead the architecture and hands-on development of a scalable computer vision platform for manufacturing environments
• Define a repeatable and configurable solution architecture supporting deployment across more than 50 global plants
• Balance initial manufacturing use case requirements with long-term platform scalability, maintainability, and supportability
• Design the platform to accommodate variations in plant equipment, production processes, camera configurations, networking, security, and local infrastructure
• Provide technical leadership and guide implementation decisions throughout the solution lifecycle from discovery and prototyping to production deployment
• Collaborate with business and technology stakeholders, plant personnel, product leadership, data scientists, computer vision engineers, software developers, and infrastructure teams
• Develop technical prototypes where needed, conduct architecture and implementation reviews, and troubleshoot complex technical issues
• Ensure consistency of the core platform architecture and deployment approach across different plant environments