AI/ML Engineer

Kyotu Technology is seeking an experienced AI/ML Engineer to join our team in developing an intelligent Energy Management System (EMS). This project focuses on optimizing energy consumption, storage, and distribution for commercial and industrial facilities using advanced Reinforcement Learning and mathematical optimization techniques.

Key responsibilities

• Training, testing, and improving Reinforcement Learning models for energy control strategies.
• Defining objective functions, constraints, states, and decision spaces for complex RL environments.
• Developing and refining simulations of batteries, PV installations, and energy flows.
• Building mathematical optimization models to serve as benchmarks for RL-based solutions.
• Analyzing experimental results and model behavior to identify and implement performance improvements.

Requirements

• Hands-on experience with Reinforcement Learning, including algorithms such as DQN or PPO.
• Practical experience deploying Machine Learning models into production environments.
• Solid understanding of mathematical optimization fundamentals and Python programming.
• Strong experience with PyTorch or TensorFlow, along with pandas and NumPy.
• Ability to write clean, maintainable, and testable code with a high level of independence.

What we offer

• Fully remote work environment with long-term cooperation opportunities.
• Engagement in a technically challenging project combining ML, optimization, and energy systems.
• Real influence on technical decisions and the architectural direction of the solution.
• Collaboration with a team of experienced engineering and AI/ML specialists.