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Job Title


Critical Minerals learning (AI based) engineer


Company : GeoSkills.AI


Location : Mumbai, Maharashtra


Created : 2025-12-15


Job Type : Full Time


Job Description

Job Description:We are the team behind LearnToDrill, an award-winning training platform that has trained over 40,000 engineers globally using simulators and interactive e-learning.Under our new brand GeoSkills.ai, we are now moving beyond energy to build the world’s most advanced AI-powered training ecosystem for:- Rare Earth Elements (REE) Extraction - Critical Minerals Processing - Hydrometallurgy & Solvent Extraction (SX) - Beneficiation & Mineral Separation - Advanced Manufacturing & Strategic MaterialsWe combine AI, simulation, and technical content development to train the next generation of workforce in rare earth and critical mineral technologies.Role: AI-Learning Engineer – Critical Minerals & Rare Earth ExtractionCompany: GeoSkills.AILocation: Mumbai (In-office or Hybrid)Type: Permanent, Full-TimeCompensation: ₹70,000 – ₹1lac per monthThe OpportunityAI-Learning Engineer – Critical Minerals & Rare Earth ExtractionImagine combining your engineering background with cutting-edge AI to create learning experiences the industry has never seen. You’ll design intelligent simulators, generate adaptive courses, and make rare-earth extraction and critical-minerals processing accessible to learners worldwide. This isn’t traditional course creation—this is AI-augmented education engineering for one of the world’s most strategic industries.What You'll Do1. Build AI-Powered Learning Systems- Use AI agents to develop and refine rare-earth & critical-mineral training modules - Convert technical papers, patents, and manuals into interactive learning content - Create adaptive assessments that adjust to learner performance-2. Develop Next-Generation Simulations- Leverage AI + mathematical models to build simulations for rare earth energy - Translate equations, mass balance, and process kinetics into simple simulation logic - Design interactive exercises that connect theory to real industrial workflows-3. Technical Content Engineering- Research emerging rare-earth extraction technologies - Simplify complex chemical/metallurgical concepts for students, professionals, and career-switchers - Develop structured learning pathways, slides, quizzes, diagrams, and job aids-4. Platform & Product Innovation- Test and improve our AI course-generation pipeline - Contribute ideas for adaptive learning features and personalized AI tutoring - Influence product decisions using learner data and instructional best practicesWho We’re Looking ForMust-Have:- B.Tech / M.Tech in Chemical Engineering or Metallurgical/Materials Engineering - (Mechanical or Petroleum Engineering acceptable only with relevant hydrometallurgy/mineral-processing experience) - Strong fundamentals in mass transfer, thermodynamics, and chemical process engineering - Excellent English communication and ability to simplify technical topics - Comfortable using AI tools (ChatGPT/LLMs) - Research skills and ability to synthesize complex information-Preferred:- Graduates from IITs or premier institutes - Experience with hydrometallurgy, mineral processing, SX/IX, precipitation, roasting/calcination - Experience in teaching, content creation, presentations, or technical documentation - Familiarity with Python/MATLAB/Aspen/HYSYS is a bonus - Familiarity with e-learning platforms or educational technologyWhy Join GeoSkills.AI- Work with a globally recognized team that pioneered simulation-based energy learning - Shape the future of AI-powered education in the energy transition sector - High ownership, fast growth, and direct collaboration with global experts - Hands-on experience with cutting-edge AI tools and simulator development platforms - Chance to create real impact in critical minerals educationYour ImpactYou will help build next-generation learning experiences by:AI-Generated Training Content- Using AI to create clear modules on rare-earth extraction, hydrometallurgy, SX/IX, leaching, roasting, calcination, and purification - Turning technical papers and process data into structured, beginner-friendly lessonsInteractive Process Simulators- Designing simulation logic for SX loops, ion-exchange systems, hydrometallurgical circuits, and beneficiation flowsheets - Applying mass balance, kinetics, and thermodynamics to build realistic training simulations-Adaptive Learning Paths- Creating AI-powered personalized learning journeys for students, professionals, and career-switchersAdvanced Technical Content- Simplifying complex chemical and metallurgical concepts into clear explanations and visual learning materialsSmart Assessment Systems- Building AI-driven assessments that detect learning gaps and provide targeted feedback