AI/ ML Engineer

- We are developing an intelligent Energy Management System (EMS) for commercial and industrial facilities. - The system uses data on energy consumption, renewable energy production, electricity prices, and battery status to determine when energy should be consumed, stored, purchased from the grid, or sold back. - The goal is to reduce energy costs and maximize the use of renewable energy while respecting the technical constraints of each installation. - The project combines Reinforcement Learning, mathematical optimization, energy system simulation, and time-series data. You will work on developing and evaluating control strategies across different installation configurations and energy consumption profiles. - 📍 Location: Remote or hybrid in Wrocław - 💼 Contract: B2B - 💰 Rate: 140–180 PLN/h plus VAT ## This is how we work - you have influence on the choice of tools and technologies - you have influence on the technological solutions applied - you have influence on the product - you focus on product development ## Your responsibilities - develop algorithms for intelligent battery energy storage control - research and evaluate different approaches to energy optimization problems - train, evaluate, and improve Reinforcement Learning models - develop optimization models and use them as benchmarks for RL-based solutions - define reward functions, states, actions, constraints, and decision spaces for RL environments - develop and improve simulations of batteries, PV installations, and energy flows - prepare and process data related to energy consumption, PV production, weather, and electricity prices - compare ML/RL models against baseline control strategies and optimization-based solutions - analyze experimental results and improve models based on their real-world behavior - validate models across different installation configurations and consumption profiles - occasionally maintain or develop electricity price forecasting models for the day-ahead market - very good knowledge of Python - strong experience with PyTorch or another deep learning framework such as TensorFlow - very good knowledge of pandas and NumPy - experience with data visualization using Matplotlib, Plotly, Seaborn, or similar tools - hands-on experience training, evaluating, and comparing Machine Learning models - practical experience deploying ML models into production environments - solid understanding of Reinforcement Learning and hands-on experience with at least one RL algorithm, such as DQN or PPO - ability to define reward functions, states, actions, and constraints for RL environments - understanding of the fundamentals of mathematical optimization - ability to work with optimization problems combining discrete and continuous decisions - strong understanding of model evaluation, experimentation, benchmarking, and interpretation of results - ability to write clean, maintainable, and testable Python code - experience with Git - high level of independence and ownership, including the ability to define and prioritize the next steps of the project - English at B2 level or higher ## Optional - knowledge of energy systems, renewable energy, battery storage, or energy markets - experience with Gymnasium or TorchRL - experience with linear programming, MILP, or dynamic programming - experience with time-series forecasting - practical experience preparing and analyzing time-series datasets - knowledge of neural network architectures for forecasting, such as TFT or TiDE - experience with Optuna, DVC, or MLflow - experience working with weather, renewable energy production, energy consumption, or electricity price data - experience using AI coding assistants such as Claude Code or Codex - experience with Docker and/or Kubernetes ## What we offer - A chance to work on diverse, high-impact AI/ML projects (IoT, energy, automation, GenAI), - Freedom to experiment and bring research ideas into production, - Collaborative, research-driven environment, - Long-term cooperation with growth paths toward AI Research, MLOps, or Tech Leadership. ## Benefits - sharing the costs of sports activities - private medical care - remote work opportunities - flexible working time - integration events - no dress code - Meeting with HR Manager (30 minutes) - Technical check (60 minutes) - Decision ## KYOTU Technology sp. z o.o. - Kyotu Technology is a boutique software house based in Wrocław and Warsaw, working fully remotely or in hybrid mode across Poland. We focus on long-term, high-quality engineering and building complex, production-grade systems with real business impact. Our teams have real influence on technical and architectural decisions.