Forward Deployed Engineer

The role

You will be embedded with DISCOMs across India to understand their data landscape and operational pain points. You will acquire and structure large-scale datasets, partner with ML teams to deploy models, and architect cloud-native data pipelines on GCP.

What you will do

• Travel to DISCOM sites across India to embed with engineering, planning, and operations teams.
• Acquire, clean, and structure large-scale operational datasets.
• Partner with ML and engineering teams to tune and deploy models.
• Architect and ship cloud-native data pipelines on GCP.
• Work alongside utility leadership on procurement, compliance, and rollout.
• Identify product gaps from the field and feed them back to the core engineering team.

Required qualifications

• A degree in engineering, computer science, or a quantitative discipline.
• Strong programming fundamentals in Python.
• Comfort with SQL, pandas, and at least one ML framework (scikit-learn, XGBoost, PyTorch).
• Experience working with large, messy real-world datasets.
• Comfort with cloud infrastructure (GCP or AWS) and modern data tooling.
• Strong written and verbal communication.
• Willingness to travel within India to the DISCOM offices, often at short notice.
• A bias toward ownership.
• A strong problem-solving instinct, including using AI agents and modern tooling intelligently.

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.

Benefits

• Direct, visible impact on India’s grid.
• An unusually broad technical scope: data engineering, geospatial, ML collaboration, and infrastructure.
• Opportunity to work with founders and senior team members from Stanford, Yale, and leading technology companies.

About the company

Pravah is building the world's first foundation model of the electric grid using ML. They work with state-owned distribution and transmission electricity utilities to transform fragmented operational data into decision-grade intelligence.