Industrial Engineer: AI & Data Analytics for Manufacturing

General Motors Africa & Middle East; Silao (Ciudad); Presencial; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

General Motors in Mexico is seeking a senior data analytics and AI engineer to leverage data, AI, and digital tech to boost manufacturing performance, reduce waste, and enable data‑driven decisions across production lines. You will transform shop floor data into actionable insights, develop ML solutions, dashboards, and automated tools that improve productivity, quality, capacity, and resource use.

The role requires collaboration with manufacturing, maintenance, and leadership teams in a

Formación

• Bachelor's degree in Data Science, Computer Science, Software/Industrial Engineering, or a related field.
• Five to eight years of professional experience in data analytics, data engineering, AI/ML, software development, IT, digital transformation, Industrial Engineering, or a related area.
• Demonstrated experience developing data products, analytical models, machine learning solutions, dashboards, applications, or automations.
• Practical proficiency in Python, SQL, Java, machine learning, data analysis, and web development.
• Experience working with data integration, data pipelines, databases, APIs or cloud-based data environments.
• Experience managing technical projects from initial requirements through implementation and deployment.
• Ability to analyze complex datasets and convert findings into actionable business and manufacturing recommendations.
• Intermediate-to-advanced technical English proficiency.
• Experience working in a manufacturing or operations environment.

Responsabilidades

• Identify opportunities to apply artificial intelligence, machine learning, advanced analytics, and automation to manufacturing and operational challenges.
• Collect, integrate, clean, and analyze data from manufacturing systems, MES platforms, equipment, processes, and other sources.
• Develop analytical models, machine learning solutions, dashboards, applications, and automations that support operational decision‑making.
• Translate manufacturing and business requirements into scalable data and digital solutions.
• Develop and maintain data pipelines, analytical datasets, and performance‑monitoring tools.
• Create metrics and dashboards to monitor schedule progress, production performance, throughput, quality, capacity, constraints, and risk areas.
• Analyze manufacturing data to identify patterns, bottlenecks, anomalies, root causes, and opportunities for improvement.
• Apply predictive and prescriptive analytics to support maintenance, quality, production planning, material flow, and process optimization.
• Use simulation, optimization, and data-driven methodologies to improve the sequence of operations, workflow, line balancing, and resource allocation.
• Support the development and analysis of Manufacturing Master Schedules using data and critical path methodology.
• Develop crew plans and analytical tools to help ensure resources are properly allocated and utilized effectively.
• Design solutions that reduce waste related to time, cost, materials, labor, machine utilization, energy, and other non-value-added resources.
• Leverage MES, Industry4.0 technologies, automation, connected systems, and manufacturing data platforms to enable digital transformation.
• Support structured problem solving through Lean Manufacturing, Six Sigma, Operational Excellence, and other continuous improvement methodologies.
• Manage technical projects from requirements definition through deployment, adoption, and continuous improvement.
• Provide technical support and explain analytical and AI solutions to manufacturing, maintenance, production and leadership teams.
• Communicate complex technical concepts and data-driven recommendations to both technical and non-technical audiences.

Conocimientos

Python

SQL

Machine Learning

Data Engineering

Analytics

Software Development

Industrial Engineering

Educación

Bachelor's degree in Data Science or related field

Herramientas

MES

APIs

Descripción del empleo

General Motors in Mexico is seeking a senior data analytics and AI engineer to leverage data, AI, and digital tech to boost manufacturing performance, reduce waste, and enable data‑driven decisions across production lines. You will transform shop floor data into actionable insights, develop ML solutions, dashboards, and automated tools that improve productivity, quality, capacity, and resource use.

The role requires collaboration with manufacturing, maintenance, and leadership teams in a