Job Summary: Develop predictive models and AI solutions to optimize mining operations, including shovel queuing, destination saturation, and predictive maintenance. Key Highlights: 1. Development of predictive models and AI solutions. 2. Optimization of mining operations with advanced technology. 3. Use of Deep Learning and Reinforcement Learning for operational improvements. **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 queuing and destination saturation (crushers/stockpiles) before they occur. * Design processes to clean and normalize OT data streams (FMS, IoT). * Implement Deep Learning models to identify patterns of imminent failure in motors, 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 dynamically adjust parameters in the dispatch model. **COMPETENCIES** * Results Orientation * Teamwork * Leadership Employment Type: Full-time Work Location: On-site