Job Summary: Develop and implement Machine Learning processes for industrial predictive maintenance, analyzing data and collaborating with technical teams. Key Highlights: 1. Machine Learning development for industrial predictive maintenance. 2. Operational data analysis to anticipate failures and optimize equipment. 3. Interdisciplinary collaboration in the integration of predictive models. **Responsibilities:** * Develop and implement *Machine Learning* processes focused on predictive maintenance of machinery in industrial environments. * Analyze operational data to detect patterns, anomalies, and behaviors that anticipate failures or intervention needs. * Generate technical reports and dashboards on equipment status and performance. * Collaborate with technical and industrial teams to integrate predictive models into maintenance processes. * Support data extraction, cleaning, and preparation as needed. * Participate in data visualization and exploratory data analysis to facilitate decision-making. **Requirements:** * Solid knowledge of **Python** for Machine Learning model development. * Experience or familiarity with predictive maintenance solutions in industrial environments. * Valuable experience in data extraction, transformation, and analysis. * Valuable knowledge of visualization tools (Power BI, Tableau, matplotlib, etc.). * Strong analytical ability, attention to detail, and understanding of industrial processes.