Ingeniero Industrial con especialidad en IA y Data Analytics

General Motors de México; Guanajuato; Presencial; MXN 900.000 - 1.400.000; Jornada completa

Descripción de la vacante

General Motors de México seeks a senior data/AI engineer to leverage data, AI, and digital technologies to improve manufacturing performance and decision-making. The role focuses on turning factory data into actionable insights, building AI-based solutions, and deploying digital applications to boost productivity and quality.

You will collaborate with technical, manufacturing, maintenance, and leadership teams in a dynamic environment, driving data-driven improvements and structured

Formación

• Bachelor's degree in a relevant field and 5–8 years in data analytics or related areas.
• Experience building data products, analytical models, dashboards, or automations.
• Proficient in Python, SQL, Java; strong data analysis and web development skills.
• Experience with data integration, pipelines, databases, APIs, or cloud environments.
• Strong technical English; able to work in manufacturing or operations.

Responsabilidades

• Identify opportunities to apply AI, ML, analytics, and automation to operations.
• Collect, integrate, clean, and analyze data from MES, equipment, processes, and other sources.
• Develop analytical models, dashboards, apps, and automations for decision-making.
• Translate requirements into scalable data and digital solutions.
• Develop data pipelines and performance-monitoring tools.
• Create metrics and dashboards to monitor production metrics and risks.

Conocimientos

Python

SQL

Java

Machine Learning

Data Analysis

Web Development

Cloud Data

APIs

Project Management

English Proficiency

Educación

Bachelor's degree in Data Science, Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Industrial Engineering, Electronics Engineering, or a related field

Herramientas

MES

Industry 4.0

Automation

Manufacturing Systems

Descripción del empleo

Job Description

What You Will Do?

The primary purpose of this role is to leverage data, artificial intelligence, and digital technologies to improve manufacturing performance, eliminate operational waste, and support data-driven decision-making. The position will transform manufacturing data into actionable insights, develop analytical and AI-based solutions, and implement digital applications that improve productivity, quality, capacity, throughput, and resource utilization.

The ideal candidate combines strong capabilities in data engineering, analytics, machine learning, software development, and Industrial Engineering. This role requires the ability to work in a dynamic, fast-paced manufacturing environment and collaborate with technical, manufacturing, maintenance, and leadership teams.

Key Responsibilities

• 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, Industry 4.0 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.

Work Appropriately

• On-Site: This position requires full-time on-site work.
• Availability to work rotating shifts when required by operational needs.

Required Qualifications

• Bachelor's degree in Data Science, Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Industrial Engineering, Electronics Engineering, or a related field.
• Five to eight years of professional experience in data analytics, data engineering, artificial intelligence, machine learning, 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.

Preferred Qualifications

• Experience applying artificial intelligence, machine learning, or advanced analytics in manufacturing, supply chain, quality, maintenance, or operations.
• Experience in automotive assembly or other automotive manufacturing environments.
• Knowledge of MES, Industry 4.0, automation, manufacturing systems, and connected equipment.
• Experience with predictive maintenance, computer vision, anomaly detection, optimization, simulation, or time-series analysis.
• Knowledge of Industrial Engineering practices, including time studies, standard work, line balancing, capacity analysis, throughput, material flow, and constraint analysis.
• Experience with Lean Manufacturing, Six Sigma, Operational Excellence, and structured problem-solving methodologies.

Core Competencies

• Advanced analytical thinking and the ability to solve complex business and technical problems.
• Strong understanding of data, artificial intelligence, machine learning, and digital technologies.
• Ability to convert operational needs into scalable data and AI solutions.
• Systems thinking and a strong results orientation.
• Effective communication with technical, manufacturing, and leadership teams.
• Technical leadership and the ability to influence without formal authority.
• Collaborative approach when working with global and cross-functional teams.
• Strong organization, autonomy, and priority-management skills.
• Innovation, continuous learning, and a commitment to continuous improvement.
• Ability to explain complex data, analytical, and AI concepts to non-technical audiences.

Diversity and inclusion are our strengths. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.

This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.