AI Vision Systems Specialist

What you will do

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.

How you will do it

Business Engagement & Needs Identification

* 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.

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.

What we look for

Required

* 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…