Product Engineer especializado/a en Exterior Trim, con experiencia en desarrollo de componentes exteriores y capacidad para liderar técnicamente la evolución del producto desde la fase conceptual hasta el inicio de la producción en serie.
Responsibilities
Liderar el desarrollo de componentes de Exterior Trim desde la fase de concepto hasta la producción en serie.
Definir, evaluar y validar soluciones técnicas propuestas por los proveedores.
Revisar diseños CAD considerando aspectos de funcionalidad, viabilidad técnica, industrialización, coste y calidad.
Gestionar y coordinar las actividades con los departamentos de Diseño, Manufacturing Engineering, Calidad, Compras y Project Management.
Realizar el seguimiento de la madurez técnica de los componentes y asegurar el cumplimiento de los hitos del proyecto.
Requirements
Grado en Ingeniería Industrial, Mecánica, Automoción o similar
Nice to have: conocimiento de procesos de inyección plástica y fabricación de componentes exteriores
Nice to have: experiencia en gestión de proyectos y coordinación de equipos multidisciplinares
Develop and apply engineering practices for industrial operations, including procurement, supply chain, facilities engineering, and maintenance. Manage project and change management of industrial transformations.
Responsibilities
Develop and apply engineering practices for industrial operations
Design, manage and improve processes for industrial operations
Manage procurement, supply chain and facilities engineering
Maintain facilities
Lead project and change management of industrial transformations
Lead the design, architecture, and delivery of end-to-end agentic AI solutions, integrating cloud-native services, data pipelines, and enterprise systems.
Responsibilities
Define AI Solution Approach: Design end-to-end AI systems covering data pipelines, model lifecycle, APIs, and integration layers
Lead Scalable System Design: Architect cloud-native AI solutions using microservices, containers, and distributed computing
Enterprise Integration: Ensure seamless integration of AI solutions with existing enterprise systems (ERP, CRM, data platforms)
MLOps & Deployment Strategy: Establish CI/CD frameworks, model versioning, monitoring, and automated deployment pipelines
Data Architecture Alignment: Collaborate with data teams on data ingestion, storage, and processing optimized for AI workloads
This role involves the development and application of engineering practice and knowledge in the following technologies: Design of mechanical systems, devices, equipment and machines; installing and maintaining mechanically functioning equipment; simulating a wide range of interactions and evaluate performance in real world scenarios; and develop prototype for manufacturability, testing and validation.
Responsibilities
Design mechanical systems, devices, equipment and machines
Install and maintain mechanically functioning equipment
Simulate interactions and evaluate performance in real world scenarios
Develop prototypes for manufacturability, testing and validation
The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.
Responsibilities
providing designing solutions and ensuring successful implementation of machine learning projects to drive business impact
assist in testing, deploying and monitoring models in production environments