Job Summary: We are seeking a Mining Engineer to deliver practical knowledge of AI (Machine Learning, computer vision, and Generative AI) for optimizing mining processes. Key Highlights: 1. Role as a trainer in AI applied to mining 2. Promotion of the professional profile on academic platforms 3. Opportunity to deliver new courses and editions **Objective:** Equip mining engineering professionals and students with practical Artificial Intelligence tools (Machine Learning, computer vision, and Generative AI) to optimize drilling, blasting, fleet management, geomechanics, and mine planning processes. **Requirements:** * **Qualification:** Mining Engineer, registered and licensed (a Master’s degree or specialization in Data Science/AI is desirable). * **Experience:** Minimum of 3 years in mining operations or consulting, applying technological tools, data analytics, or Artificial Intelligence. * **Software to be used:** Proficiency with open-source tools (*Python, Google Colab, Orange Data Mining, QGIS*) or possession of a commercial license (e.g., *Datamine, Deswik, Whittle, Vulcan*) for practical demonstrations. * **Skills:** Pedagogical ability to explain complex AI concepts simply and with a focus on solving real-world field problems. * **Equipment:** A high-performance computer, a high-quality microphone, and a quiet environment for screen recordings and live sessions. **Proposed Course Structure (10 Hours):** * **Module 1 (2h):** Fundamentals of Data Science and AI in Mining (*Python / Google Colab / Orange*). * **Module 2 (2h):** AI in Drilling and Blasting: Fragmentation and vibration prediction. * **Module 3 (2h):** Predictive Analytics for Machinery Maintenance and Fleet Control. * **Module 4 (2h):** Optimization of Mine Planning and Predictive Geometallurgy. * **Module 5 (2h):** Generative AI and Specialized Prompts for Technical Reports and PETS/PETAR. **What We Offer:** * Timely payment upon delivery and validation of recorded materials. * Promotion of your professional profile on our academic platforms. * Possibility to deliver new editions and complementary courses. * Formal institution. Employment Type: Temporary Salary: S/.150.00 \- S/.180.00 per hour Work Location: Remote
María García
Indeed · HR
María García
Indeed · HR
