AI Vision Systems Specialist

1007 Clarios, LLC
Glendale, WI, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

3d Models Artificial Intelligence Computer Vision Machine Learning Simulation Software Smart Devices Systems Integration Visual Systems Information Technology Data Pipelines

Job description

The AI Vision Systems Specialist is responsible for designing, developing, and deploying computer vision solutions that enable intelligent automation and quality control in Clarios manufacturing plants. This role supports the Future Factory vision by integrating advanced vision systems and AI algorithms into production lines. The specialist works closely with IT, product engineering, operations, and regional teams to deliver scalable, robust, and innovative solutions for automated inspection and process optimization. A key part of this role is connecting with business stakeholders across regions to collaboratively identify and align on pain points and priorities. The specialist will develop proof-of-concept (PoC) solutions in lab environments, validate them, and drive the integration of core solutions into base machines for global deployment., * Proactively engage with business and plant teams across regions to understand operational challenges, pain points, and improvement opportunities.

  • Collaborate with business owners to create product roadmaps that prioritize delivery of key capabilities to the plants.
  • Facilitate workshops and collaborative sessions to define priorities for vision system applications

Solution Development & Deployment

  • Design, develop, and implement computer vision systems for automated inspection, defect detection, and process monitoring.
  • Develop PoC solutions in lab environments, validate with stakeholders, and drive integration into base machines.
  • Integrate vision systems (edge devices, cameras, sensors, lighting) with manufacturing equipment.
  • Create predictive and preventative maintenance schedule along with necessary spare parts list to ensure long-term viability of solutions.
  • Collaborate with IT and engineering to deploy AI models and data pipelines for real-time analytics.

Regional Execution & Scalability

  • Lead and support deployment of vision solutions across multiple regions, ensuring adaptability to local requirements and standards.
  • Coordinate with regional teams for pilot builds, R&D trials, commissioning, and feedback loops.

Technical Leadership & Documentation

  • Evaluate and select hardware/software for vision applications in brownfield and greenfield scenarios.
  • Develop and maintain technical documentation, including Supplier Statements of Work (SSOW), Bills of Materials (BOM), System calibration and quality procedures, and spare parts lists.
  • Guide vendor selection and manage strategic partnerships with equipment suppliers and integrators.

Continuous Improvement & Innovation

  • Stay current with emerging technologies in computer vision, machine learning, and industrial automation.
  • Conduct benchmarking and share findings with global teams.
  • Champion innovation and standardization across sites and regions.

Communication & Collaboration

  • Communicate technical concepts and project status to stakeholders at all levels, including executive leadership.
  • Foster cross-functional and cross-regional collaboration to ensure alignment and best practice sharing.

Requirements

To succeed in this role, the individual must have a sound knowledge of vision systems in addition to internal business acumen:

  • Visionary thinking and technical leadership in computer vision for manufacturing.
  • Strong business acumen and ability to translate operational needs into technical solutions.
  • Innovation and adaptability in fast-paced, evolving environments.
  • Effective communication and collaboration across functions, cultures, and regions.
  • Structured planning, project management, and follow-through., * Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field.
  • 3+ years of experience in computer vision, machine learning, or automation engineering.
  • Experience with vision system integration in manufacturing or industrial environments.
  • Familiarity with industrial cameras, sensors, and lighting systems.
  • Experience deploying AI models to edge devices or cloud platforms.
  • Proficiency in 3D CAD tools and simulation software is a plus.
  • Experience leading cross-functional projects in international settings.

Benefits & conditions

  • Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire
  • Tuition reimbursement, perks, and discounts
  • Parental and caregiver leave programs
  • All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program
  • Global market strength and worldwide market share leadership
  • HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility
  • Clarios has been recognized as one of 2026’s Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction.

About the company

Clarios is the force behind the world’s most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we’re not just making batteries; we’re shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities.

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