Are you passionate about artificial intelligence and optimization? We'd love to meet you! At Acebsa, we are developing innovative solutions for production planning in industrial environments. We're looking for someone with a technical background and a strong desire to learn, who wants to grow with us and contribute their talent to real AI projects. What will you do on a daily basis? * You will participate in the development and evolution of a production planning system based on techniques such as **CP\-SAT** and **Simulated Annealing**. * You will apply real business rules from manufacturing environments: machine constraints, calendars, priorities, etc. * You will design interactive graphical interfaces to visualize planning. * You will integrate the system with APIs, databases, and other internal services (ERP). * You will collaborate on cross-functional AI projects: intelligent agents, chatbots, predictive systems… * You will document the system to facilitate its maintenance and evolution. * You will support the implementation of AI tools across different departments: production, administration, maintenance, logistics… What do we offer? * We offer an internship program supervised by the head of the systems department, with real opportunities for permanent incorporation and professional development within the project. * Flexible working hours adapted to your needs. * Office hours: Monday to Thursday from 08:00 to 17:30, Friday from 08:00 to 14:00\. * An environment where you can learn, propose ideas, and grow professionally. Are you interested? If this opportunity matches your interests and you'd like to know more, we’d be delighted to meet you. Tell us what motivates you and how you could contribute to the team. What are we looking for? * You are in the final years of a degree in Computer Engineering, Mathematics, Industrial Engineering with a technical focus, or similar. * You have interest (or experience) in: + Python programming (advanced level). + Optimization techniques: constraint programming, heuristics/metaheuristics. + Google OR\-Tools / CP\-SAT. + Data analysis with pandas / NumPy. + API development (Flask or similar). + HTML5, JavaScript, PL/SQL. * Knowledge in the following areas is valued: + Industrial environments or problems such as FJSP. + Oracle databases or advanced SQL. + AI techniques: machine learning, clustering, NLP. + DevOps: Docker, version control, virtual environments.