MES / MOM & AI Engineer Consultant

Capgemini · Casablanca, Morocco

$109k - $172k

Permanent

Job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

As our Industry 4.0 and Digital Transformation activities grow, we are looking for an MES/MOM & AI Engineer Consultant to help clients define, design, and deploy MES/MOM solutions and industrialize Artificial Intelligence solutions.

Responsibilities

Industrial consulting and transformation (MES/MOM): support clients from business-case development through implementation of technology solutions; help define MOM strategy and build digital-transformation roadmaps; write functional and technical specifications for Smart Factory projects; design MES architecture and infrastructure suited to clients' business processes; perform Fit/Gap analyses and recommend appropriate solutions; define consistent information-system architectures and integrate them with existing systems; create and maintain manufacturing instructions, recipes, and master data in MES systems; test, validate, and optimize digital work instructions; help users resolve incidents and adopt new solutions; design and deliver user training; participate in commissioning solutions at client sites; transfer knowledge, manage change, and support project teams.

AI and Data solution development: collect, analyze, and prepare data needed to develop AI models; design, develop, and train Machine Learning and Deep Learning models; develop Generative AI solutions based on Large Language Models (LLMs); design Retrieval Augmented Generation (RAG) architectures; monitor model performance and continuously improve it; collaborate with business teams to identify and prioritize AI use cases; write technical documentation and define development best practices; ensure solutions meet security, governance, and data-quality requirements.

Candidate profile

Master's degree (Bac+5) in Computer Science, Data Science, Artificial Intelligence, Industrial Engineering, or equivalent. Significant experience with MES/MOM, Smart Manufacturing, or Industry 4.0 projects. Good understanding of industrial processes and production systems. Experience developing AI, Machine Learning, and Generative AI solutions. Excellent analytical, problem-solving, and communication skills. Proficiency in French and English.

Key skills

Machine Learning; Deep Learning; Generative AI; Large Language Models (LLM); Prompt Engineering; Retrieval Augmented Generation (RAG); Natural Language Processing (NLP); Computer Vision; MLOps; Data Engineering; Feature Engineering; Model Deployment; AI Governance; MES/MOM; Smart Factory; Industry 4.0; Fit/Gap analysis; change management; project management.

Why join us?

Participate in innovative projects combining Industry 4.0 and Artificial Intelligence. Work in a stimulating, international technology environment. Develop and deepen your skills in the technologies of the future.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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