Description
Ignitis Renewables is hiring an Asset Performance & Optimization Engineer to analyze renewable energy assets, especially battery energy storage systems, using advanced analytics and machine learning. The role develops performance forecasts, condition-monitoring and fault-prediction models, identifies upgrade opportunities, supports root-cause investigations, and advises asset supervisors. It requires an engineering or related academic background, 1–3 years of experience, strong statistical and machine-learning skills, data-visualization ability, and fluency in English. The position follows a hybrid 3+2 work model and offers flexible hours and professional development programs.
