AI/ ML Engineer

KYOTU Technology is seeking an AI/ML Engineer to join our team in developing an intelligent Energy Management System for commercial and industrial facilities. You will work on cutting-edge solutions that optimize energy consumption, storage, and distribution to maximize renewable energy usage and reduce costs.

Key responsibilities

• Develop and improve Reinforcement Learning models for intelligent battery energy storage control.
• Research and evaluate various approaches to complex energy optimization problems.
• Define reward functions, states, actions, and constraints for RL environments.
• Develop and maintain simulations of batteries, PV installations, and energy flows.
• Prepare and process large datasets related to energy consumption, weather, and market prices.

Requirements

• Very good knowledge of Python and strong experience with deep learning frameworks like PyTorch.
• Solid understanding of Reinforcement Learning with hands-on experience in algorithms such as DQN or PPO.
• Practical experience in deploying ML models into production environments.
• Strong understanding of mathematical optimization and model benchmarking.
• Ability to write clean, maintainable, and testable code with a high level of independence.

What we offer

• Opportunity to work on high-impact AI/ML projects in the energy and automation sectors.
• Freedom to experiment and bring research ideas into production environments.
• Collaborative, research-driven work culture with clear growth paths.
• Flexible working hours and a focus on long-term professional development.