Quality Data & AI Engineer

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

We are seeking a highly motivated Data & AI Architect to join our Digital Manufacturing and Engineering Unit. In this role, you will be part of the Quality team and you will design, develop, and deploy scalable AI, Machine Learning, Computer Vision, and Data Analytics solutions that improve manufacturing quality, automate engineering processes, and support data-driven decision making across global production sites.

You will collaborate with engineering, quality, Industrial, manufacturing, and IT/IS teams to deliver innovative solutions using modern cloud technologies, Generative AI, and advanced analytics.

Key Responsibilities

Design and develop end-to-end AI and data solutions for manufacturing and quality engineering.

Build Machine Learning and Deep Learning models for defect detection, predictive analytics, and process optimization.

Develop Computer Vision applications using image processing, CNNs, and modern AI techniques.

Design and implement Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI workflows.

Develop scalable data pipelines for collecting, transforming, and analyzing manufacturing and engineering data.

Create interactive dashboards and reporting solutions using Looker Studio and SQL (Bigquery).

Develop Python applications and automation tools to streamline engineering and quality workflows.

Deploy AI applications on Google Cloud Platform (GCP) using Cloud Run, Cloud Storage, Vertex AI, and related cloud services.

Integrate enterprise systems, databases, APIs, and manufacturing data sources.

Perform statistical analysis including Capability Analysis, Gage R&R, Correlation Analysis, and process performance evaluation.

Develop desktop and web applications for engineering teams using Python frameworks.

Ensure AI solutions follow best practices for scalability, security, maintainability, and performance.

Collaborate with global engineering teams to gather requirements and deliver business-focused AI solutions.

Support continuous improvement initiatives by identifying opportunities for automation and digital transformation.

Prepare technical documentation, user guides, and deployment documentation.

Roles & Responsibilities

Lead the architecture and implementation of AI-driven manufacturing solutions.

Translate business requirements into scalable technical solutions.

Develop reusable AI frameworks and analytics tools.

Mentor engineering teams on AI, Machine Learning, and data best practices.

Evaluate emerging AI technologies and recommend adoption where appropriate.

Troubleshoot production issues and continuously improve deployed solutions.

Work closely with Quality, Manufacturing, R&D, and IT teams on cross-functional initiatives.

Participate in solution design reviews, code reviews, and technical planning.

Manage project timelines and communicate progress to stakeholders.

Preferred Qualifications

Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

6+ years of Experience in manufacturing, automotive, medical devices, or industrial automation.

6+ years of Experience deploying AI solutions into production environments.

Strong understanding of software architecture and cloud-native development.

Excellent communication and stakeholder management skills.

Job:

Quality - Development - SYS & SW Operational

Organization:

PL/RO Quality

Schedule:

Full time

Employee Status:

Regular

Job Type:

Permanent contract

Job Posting Date:

2026-07-31

Join Us !

Being part of our team, you will join:

one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development

a multi-cultural environment that values diversity and international collaboration

more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth

a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com