Forward Deployed Engineer

Location: New Delhi, India (with frequent travel across India) Team: Engineering Reports to: Founder & CEO About Pravah Pravah is an AI lab building foundational intelligence for the electric grid. We work directly with state-owned electricity utilities (DISCOMs) to transform their decades of fragmented operational data into deployable, decision-grade intelligence. Our customers include some of the largest DISCOMs in the country, and our work spans demand forecasting (including renewable generation forecasting), weather forecasting, network mapping, and load flow analysis. About the Role As a Forward Deployed Engineer at Pravah, you will be the bridge between our customers and our product. You will be embedded directly with DISCOMs across India to understand the realities of how the grid runs. Since we are an early stage startup, there are many situations where you will be expected to handle things which are beyond the scope of this JD, and your problem solving skills will be put to test. This is a role for someone who is equally comfortable writing Python on a flight, to drone mapping a substation, and presenting to Senior Executives and IAS officers. It is unusually broad: applied data work, large-scale data engineering, geospatial analysis, and high-trust customer engagement. What You Will Do Travel to DISCOM sites across India and embed with their engineering, planning, and operations teams to understand their data landscape and operational pain points. Acquire, clean, and structure large-scale operational datasets: SCADA streams, smart-meter telemetry, GIS networks, billing records, and weather feeds, often spanning multiple years and hundreds of millions of rows. Partner with the ML and engineering teams to tune and deploy models for demand forecasting, renewable generation forecasting, network mapping, and load flow analysis, owning the data side and feeding the model side. Architect and ship cloud-native data pipelines on GCP, alongside the engineering team,