Voltanova is building an AI-powered Energy Intelligence Platform to optimize how energy is generated, stored, purchased, and consumed across industrial energy systems. We are looking for an ML Researcher to develop intelligent models combining: Weather + Renewable Generation + Electricity Demand + Tariffs + Grid + Storage + Industrial Processes What you’ll work on
• Build advanced time-series forecasting models for energy demand, renewable generation, prices, and weather.
• Develop AI-driven optimization and decision-making for energy storage and industrial energy systems.
• Research Transformers, probabilistic forecasting, reinforcement learning, and physics-informed ML.
• Build models that move from prediction → optimization → autonomous energy decisions.




• Work closely with our energy and thermal engineering teams to incorporate real-world physical constraints. What we’re looking for
• Strong ML, statistics, and mathematical foundations.
• Strong Python and experience with PyTorch/TensorFlow/JAX.
• Experience with time-series forecasting, optimization, or reinforcement learning.
• Prior experience in energy, power systems, climate, industrial systems, or storage is a strong advantage.
• Solid research mindset and ability to independently solve complex problems. This is an opportunity to build the AI brain that manages the future of industrial energy.

📌 Applied ML Researcher(Phd) – Energy Intelligence (Bengaluru)
🏢 Voltanova
📍 Bengaluru