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 solid advantage.
Robust research mindset and ability to independently solve complex problems.

This is an prospect to build the AI brain that manages the future of industrial energy.

📌 Machine Learning Researcher Phd – Energy Intelligence Bengaluru
🏢 Voltanova
📍 Bengaluru