Our client is a global location data and technology company that helps people and businesses make better decisions — from supporting cities in managing infrastructure to guiding drivers safely to their destinations. Their solutions power navigation and location services used by millions of users worldwide and aim to create a positive impact on everyday life.
We are looking for a Python GIS Engineer to join a strategic map quality initiative focused on building intelligent, automated systems that improve the accuracy and reliability of digital maps.
The project aims to industrialize and scale an automated, data‑driven approach to measuring Client map content quality against multiple ground truth sources. Instead of relying primarily on manual or single‑source validation, the project builds an auto‑matching and auto‑scoring capability that compares Client content to a curated set of external and internal references (e.g., imagery, probes, community sources, audit data) and generates repeatable quality metrics.
You will work on developing GIS-based Python pipelines that automatically compare and match map data against multiple ground truth sources. The system calculates standardized quality KPIs and exposes results through reusable services and dashboards used by product and customer-facing teams.
Technologies
Will be a plus:
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
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