AI/ML Instructor – Energy Optimization Training

About the role

RMG is seeking an AI/ML Instructor to lead a five‑day intensive training program focused on applying artificial intelligence and machine learning techniques to energy optimization. The program will be delivered on‑site in Riyadh and targets professionals working with modern energy systems and smart infrastructure.

Key responsibilities

• Explain the role of AI/ML in contemporary energy systems and infrastructure.
• Guide participants through data preprocessing and time‑series forecasting for energy demand prediction.
• Develop predictive‑maintenance models using supervised learning and anomaly‑detection techniques.
• Build AI models for solar and wind generation forecasting.
• Design intelligent control strategies for HVAC and lighting in smart buildings.
• Explore advanced AI applications such as energy trading, smart‑grid management, and digital twins.
• Assess deployment challenges, including real‑time monitoring and edge‑computing considerations.

Required profile

• Strong understanding of AI/ML concepts applied to energy and infrastructure.
• Ability to convey complex technical material to a mixed audience.
• Experience with practical implementation of AI solutions in energy‑related contexts is preferred.

Required skills

• Data preprocessing
• Time‑series forecasting
• Supervised learning
• Anomaly detection
• Predictive‑maintenance modeling
• Energy generation forecasting (solar & wind)
• Intelligent control system design for HVAC and lighting
• Edge computing and real‑time monitoring