- Location
- San José de Chiapa, Puebla
- Type
- Temporary
- Department
- IT
- Experience
- 4+ years
- Education
- Master
- Closing date
- Today
- Source
- ApplyToJob
Description
WHO WE ARE
Working together, growing together, creating new things together: EDAG connects people and the future. Company and workforce share the same vision. With a familiar atmosphere and at the same time the potential of a global world-class development company. You‘ll go your own way in your career at a high level – nationally and internationally. Take your next step and support us as a ARTIFICIAL INTELLIGENCE MANUFACTURING PROCESS PLANNER.
DESCRIPTION
Working together, growing together, creating new things together: EDAG connects people and the future. Company and workforce share the same vision. With a familiar atmosphere and at the same time the potential of a global world-class development company. You‘ll go your own way in your career at a high level – nationally and internationally. Take your next step and support us as a ARTIFICIAL INTELLIGENCE MANUFACTURING PROCESS PLANNER.
DESCRIPTION
- Design, optimization, and implementation of manufacturing processes using Artificial Intelligence.
- Proposals of Digital Manufacturing, Industry 4.0, and data -driven technologies
- Advance analytics, machine learning, simulation, and automation to improve productivity, quality, cost, an operational efficiency across automotive manufacturing operations
- Lead the planning, development, and optimization of automotive assembly processes, ensuring compliance with safety, quality, productivity, and cost targets
- Coordinate industrialization, activities, including equipment specifications, supplier management, installation, commissioning, and production ramp-up
- Analysis, conception and implementation of assembly structures and processes
- Project management (controlling, monitoring of dates, documentation of defects)
QUALIFICATIONS
- Bachelor's Degree in Engineering (Mechatronics, Systems, Automotive or related). Master's Degree in AI, Data Science or related is advantage
- At least 4 years of professional experience
- Experience at an OEM
- Experience applying AI, machine learning, and predictive analytics to improve productivity, quality, forecasting, capacity planning, process optimization, and decision-making
- Substantial experience in the specific planning fields in the automotive industry, Specifically, a very high knowledge and experience in Assembly Equipment and Tools Planning.
- Knowledge in SQL, Python, Data visualization and others
- Fluent English
- Position for 6 months
MAKING IMPOSSIBLE
THINGS POSSIBLE
WITH YOU
THINGS POSSIBLE
WITH YOU
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Skills
PythonSQLMachine LearningData ScienceComplianceProject Management