Pravah
AI lab
ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Forward Deployed Engineer at Pravah. Skills: applied data work, large-scale data engineering, geospatial analysis, high-trust customer engagement, data engineering, geospatial, ML collaboration, infrastructure. 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 ”
What You'll Achieve.
transform their decades of fragmented operational data into deployable, decision-grade intelligence; productionise these models for the customer; Direct, visible impact on India’s grid. The systems you build go live with real utilities serving millions of consumers.
Industry & Context.
problem solving skills will be put to test; A problem-solving instinct, including using AI agents and modern tooling intelligently to multiply your output
frequent travel across India, handle things which are beyond the scope of this JD, equally comfortable writing Python on a flight, to drone mapping a substation, and presenting to Senior Executives and IAS officers, Willingness to travel within India to the DISCOM offices, often at short notice
What They're Looking For.
Must Have
programming fundamentals in comfort with SQL, pandas, and at least one ML framework (scikit-learn, XGBoost, PyTorch), Experience working with large, messy real-world datasets and the patience to figure out why they’re messy, Comfort with cloud infrastructure (GCP or AWS) and modern data tooling, written and verbal communication, Willingness to travel within India to the DISCOM offices, often at short notice, A bias toward ownership. You lead and execute the task with minimal hand-holding, A problem-solving instinct, including using AI agents and modern tooling intelligently to multiply your output
Nice to Have
Prior exposure to the power, energy, or infrastructure sector, Experience with geospatial data (QGIS, GeoPandas, shapefiles, GDB), Experience with deploying, managing or building end-to-end software products at scale
What You'll Do.
Travel to DISCOM sites across India and embed with their engineering
and operations teams to understand their data landscape and operational pain points
and structure large-scale operational datasets: SCADA streams
smart-meter telemetry
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
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
that productionise these models for the customer
Work alongside utility leadership on procurement
and rollout from initial pitch to live deployment
Identify product gaps from the field and feed them back to the core engineering team
How You'll Work.
Team & Collaboration
Partner with the ML and engineering teams; Architect and ship cloud-native data pipelines on GCP, alongside the engineering team; Work alongside utility leadership; fit well within a tight-knit team
Communication Scope
written and verbal communication; presenting to Senior Executives and IAS officers
Process & Methodology
ownership, lead and execute the task with minimal hand-holding
Full Job Description
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 engineeri
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