Forward Deployed Engineer

Ovii's Interpretation of the Role

The Forward Deployed Engineer bridges Pravah's AI platform with Indian utility customers, delivering data pipelines, ML models, and on‑site solutions. The role blends Python development, cloud engineering, geospatial analysis, and high‑trust stakeholder engagement across the country.

Role Snapshot

• Customer‑facing data engineer
• Build cloud‑native pipelines on GCP/AWS
• Deploy demand‑forecasting ML models
• Travel nationwide to embed with DISCOM teams
• Clean and structure massive operational datasets
• Collaborate with senior utility leaders

Must-Have Requirements

• Python programming
• SQL
• pandas
• at least one ML framework (scikit‑learn, XGBoost, PyTorch)
• cloud infrastructure (GCP or AWS)
• strong written and verbal communication
• willingness to travel within India
• experience with large, messy real‑world datasets
• experience with cloud infrastructure (GCP/AWS)
• experience with Python programming
• degree in engineering, computer science, or quantitative discipline

Nice-to-Have Signals

• experience in power/energy or infrastructure sector
• geospatial data experience (QGIS, GeoPandas)
• experience building end‑to‑end software at scale
• experience in power/energy sector
• geospatial data experience
• power sector

Work Setup

• Location: New Delhi, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Travel: frequent travel across India
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement specifics
• Certifications
• Relocation
• Notice period
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Travel to DISCOM sites across India and embed with engineering, planning, and operations teams
• Acquire, clean, and structure large‑scale operational datasets such as SCADA streams, smart‑meter telemetry, GIS networks, billing records, and weather feeds
• Partner with ML and engineering teams to tune and deploy forecasting, renewable generation, network mapping, and load‑flow models, owning the data side
• Architect and ship cloud‑native data pipelines on GCP (or AWS) that productionise these models for customers
• Work alongside utility leadership on procurement, compliance, and rollout from pitch to live deployment
• Identify product gaps in the field and feed them back to the core engineering team

Good Fit If You Have

• Prior exposure to the power, energy, or infrastructure sector
• Experience with geospatial data (QGIS, GeoPandas, shapefiles)
• Background building end‑to‑end software products at scale
• Chill, easy‑going personality that fits a tight‑knit team
• Bias toward ownership and rapid delivery