AI-Driven Automotive Assembly Process Planner

EDAG; San José Chiapa; On-site; MXN 450,000 - 650,000; Full time

Job summary

EDAG in Mexico is seeking an Artificial Intelligence Manufacturing Process Planner to design, optimize, and implement AI-driven manufacturing processes for automotive assembly. You will lead digital manufacturing initiatives and collaborate across teams to improve productivity, quality, and cost.

The role requires strong AI/ML experience, extensive assembly equipment planning knowledge, and fluent English. This is a 6-month contract targeting OEM environments and advanced Industry 4.0 practices.

Qualifications

• Bachelor’s in engineering or related field.
• Experience applying AI, ML and predictive analytics to improve productivity, quality, forecasting and process optimization.
• Very high knowledge of Assembly Equipment and Tools Planning in automotive industry.
• Fluent English required.

Responsibilities

• Design, optimization, and implementation of manufacturing processes using Artificial Intelligence.
• Propose Digital Manufacturing, Industry 4.0, and data-driven technologies.
• Use analytics, machine learning, simulation, and automation to boost productivity, quality, cost, and efficiency.
• Lead planning, development, and optimization of automotive assembly processes with safety, quality, and cost targets in mind.
• Coordinate industrialization activities including equipment specs, supplier management, installation, commissioning, and ramp-up.
• Analyze, conceive and implement assembly structures and processes; manage projects with timelines and documentation.

Skills

AI/ML knowledge

Assembly Equipment Planning

Project management

Fluent English

Education

Bachelor's Degree in Engineering (Mechatronics, Systems, Automotive or related)

Master's Degree in AI, Data Science or related (advantage)

Tools

SQL

Python

Data visualization

Job description

EDAG in Mexico is seeking an Artificial Intelligence Manufacturing Process Planner to design, optimize, and implement AI-driven manufacturing processes for automotive assembly. You will lead digital manufacturing initiatives and collaborate across teams to improve productivity, quality, and cost.

The role requires strong AI/ML experience, extensive assembly equipment planning knowledge, and fluent English. This is a 6-month contract targeting OEM environments and advanced Industry 4.0 practices.