AI/ML Engineer

🔍 AI/ML Engineer (Reinforcement Learning)

Location: 100% remote

Contract type: B2BCapacity: Full-timeRate: 130 - 160 PLN + VAT / h 🚀 About the projectWe 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 core of the project is the development of Reinforcement Learning models combined with mathematical optimization and energy system simulation. You will work on RL-based control strategies, define their decision environments and constraints, build optimization models as benchmarks, and develop simulations of batteries, PV installations, and energy flows.

The goal is to reduce energy costs and maximize the use of renewable energy while respecting the technical constraints of each installation.💡 Who we areKyotu 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.🧠 Your responsibilitiestraining, testing, and improving Reinforcement Learning modelsdeveloping mathematical optimization models and using them as benchmarks for RL-based solutionsdefining objective/reward functions, constraints, states, actions, and decision spacesdeveloping and improving simulations of batteries, PV installations, and energy flowsevaluating RL models against optimization-based solutions and baseline control strategiesanalyzing model behavior and experimental results to identify areas for improvementvalidating solutions across different installation configurations and energy consumption profilesresearching and evaluating different approaches to energy optimization problemspreparing and processing data related to energy consumption, PV production, weather, and electricity pricesoccasionally supporting electricity price forecasting models for the day-ahead market🧩 Must haveshands-on experience with Reinforcement Learning, including practical experience with at least one algorithm such as DQN or PP

• Opractical experience deploying Machine Learning models into production environmentsability to define reward functions, states, actions, constraints, and decision spaces for RL environmentssolid understanding of mathematical optimization fundamentalsvery good knowledge of Pythonstrong experience with PyTorch or another deep learning framework such as Tensor
• Flowvery good knowledge of pandas and NumPypractical experience training, testing, evaluating, and comparing Machine Learning modelsability to work with optimization problems combining discrete and continuous decisionsstrong understanding of experimentation, benchmarking, and interpretation of model resultsability to write clean, maintainable, and testable Python codeexperience with Githigh level of independence and ownership, including the ability to define and prioritize the next steps of the project
• English at B2 level or higher✨ Nice to haveknowledge of energy systems, renewable energy, battery storage, or energy marketsexperience with Gymnasium or Torch
• RLexperience with linear programming, MILP, or dynamic programmingexperience with time-series forecastingpractical experience preparing and analyzing time-series datasetsknowledge of neural network architectures for forecasting, such as TFT or TiDEexperience with Optuna, DVC, or MLflowexperience working with weather, renewable energy production, energy consumption, or electricity price dataexperience using AI coding assistants such as Claude Code or Codexexperience with Docker and/or Kubernetes📦 What we offerB2B contractrate: 130 - 160 PLN + VAT / h100% remote worklong-term cooperationtechnically challenging project combining ML, Reinforcement Learning, optimization, and energy systemshigh level of independence and ownershipreal influence on technical decisions and the direction of the solutionopportunity to work on models that directly impact energy costs and renewable energy utilizationcollaboration with experienced engineering and AI/ML specialists