




Job Summary: Develop and apply predictive and machine learning models to optimize mining operations, improve efficiency, and prevent equipment failures. Key Highlights: 1. Development of predictive models to optimize mining operations. 2. Implementation of Deep Learning to identify failure patterns. 3. Creation of models to minimize fuel consumption. **REQUIREMENTS** * Degree in Mining Engineering, Data Science, Computer Systems, Statistics, Mathematics, or related fields. * 02 \- 06 years of experience in similar roles. * Applications accepted from persons with disabilities. * Must reside in Lima. **KNOWLEDGE** * Programming languages: Python, C\+\+ * Jupyter Notebook, Power BI * SQL, PostgreSQL, MongoDB * TensorFlow, PyTorch, SimPy * Apache Spark, Pandas, Polars, Dask * Language: English \- Intermediate **RESPONSIBILITIES** * Develop models to estimate shovel queue formation and destination (crushers/stockpiles) saturation before they occur. * Design processes to clean and normalize OT data streaming (FMS, IoT). * Implement Deep Learning models to identify imminent failure patterns in engines, transmissions, and hydraulic systems. * Create models correlating telemetry with topography to minimize fuel consumption per ton moved. * Develop AI agents using Reinforcement Learning (RL) to perform dynamic parameter adjustments in the dispatch model. **COMPETENCIES** * Results Orientation * Teamwork * Leadership Employment Type: Full-time Work Location: On-site


