
THAT WOULD BE WONDERFUL IF YOU HAVE:
- • At least Bachelor’s degree in Computer Science or related field;
• Strong Python knowledge;
• Experience with OCR and PDF parsing;
• Web applications creation experience with Flask/Django or FastAPI;
• Experience with any cloud provider, preferably AWS;
• Understanding of HVAC systems or energy efficiency applications is a strong plus;
• Proficiency Pandas, NumPy, Scikit-learn, and PyTorch or TensorFlow;
• Proven experience in time series modeling and forecasting;
• Ability to document results, write integration tests, and communicate insights clearly;
• English — Upper-Intermediate.
WOULD BE A PLUS:
• Experience in implementing data science and NLP projects;
• Experience with IoT platforms, sensor networks, or SCADA integration;
• Knowledge of PID control, heat transfer modeling, or control curve optimization;
• Basic DevOps / CI/CD experience for ML (Docker, GitHub Actions, AWS CodePipeline).
ADVANTAGES FOR A CANDIDATE:
• Stable and competitive salary;
• Legally compliant gig contract with official tax reporting and payment;
• Work in a cool & experienced team;
• Useful & exciting projects;
• Up to 26 Days Off per year at your convenience;
• Convenient office in Vinnytsia or an opportunity to work remotely;
• Corporate culture with maximum automation of processes;
• Review of working conditions and position based on performance, productivity and development in accordance with a skills assessment program;
• Excellent opportunities and prospects for professional growth in a company with a 9-year history.
ABOUT THE PROJECT
The project is a data-driven adaptive control system for intelligent energy management in buildings.
It uses machine learning techniques and automated data extraction from design documentation to analyze patterns of heat flow and optimize system performance.





