MES Intern: AI-Driven Manufacturing Modernization

Clarios, LLC; Coahuila; Hybrid; MXN 112,000 - 190,000; Full time

Job summary

Clarios, LLC is seeking a student for MES-focused work to analyze legacy systems, document manufacturing processes, and assist in digital transformation efforts within a global manufacturing setting.

The role offers hands-on exposure to MES platforms, data analysis, and cross-functional collaboration with manufacturing, engineering, and IT teams. Strong English skills and a curiosity for industrial technologies are essential.

Qualifications

• Currently pursuing a Bachelor's degree in a relevant field.
• Basic knowledge of programming concepts and software development.
• Interest in manufacturing technologies, digitalization, and industrial systems.
• Familiarity with process mapping and technical documentation is a plus.
• Strong analytical and organizational skills.
• Advanced English proficiency.

Responsibilities

• Study, analyze, and document the legacy Unique Code application functionality, architecture, and business purpose.
• Support modernization of the Unique Code application using AI-assisted development tools.
• Assist with enhancements, testing, and documentation during the modernization process.
• Walk MES-related processes across plants to map operations and workflows.
• Document processes, system interactions, and technologies for standardization.
• Prepare reports and progress updates for stakeholders.

Skills

Analytical thinking

Problem solving

Technical curiosity

Process documentation

Attention to detail

Collaboration

Learning agility

Communication skills

Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Mechatronics, Industrial Engineering, Automation, or related fields

Job description

Clarios, LLC is seeking a student for MES-focused work to analyze legacy systems, document manufacturing processes, and assist in digital transformation efforts within a global manufacturing setting.

The role offers hands-on exposure to MES platforms, data analysis, and cross-functional collaboration with manufacturing, engineering, and IT teams. Strong English skills and a curiosity for industrial technologies are essential.