Principal Geospatial ML Scientist

Principal Geospatial Data Scientist

Terrafusion is a deep‑tech space to subsurface intelligence startup, building the next generation of intelligent geospatial analytics. We combine various sensor data with AI to solve complex real‑world problems. Our advisory board comprises of veterans from top notch organisations cutting across Mining, Energy, Railway & Water

Founding-level role for geospatial AI engineers beyond coding. You'll architect end-to-end pipelines, create reusable AI models, guide technical direction. Intersection of geospatial research, data science, and engineering.

1- Develop R&D tech for geospatial projects using Python 2- Translate research to prototypes (e.g., Dash/Plotly) 3- Design, validate geospatial models & algorithms (change detection, classification, forecasting) 4- Build data pipelines (ingestion→analytics→storage) 5- Research methodologies, ground-truth, datasets, emerging algorithms 6- Deliver presentations, reports, recommendations to stakeholders 7- Collaborate across teams on feasibility, workflows, innovation

(Must haves) 1- Ph.D. in a given discipline OR equivalent level of work experience and skills with a degree in Computer Science, Data Science, AI, Physics, Mathematics 2- Research experience, preferrably with a focus on geospatial information or remote sensing, mathematical and information sciences 3- Solid programming experience with Python (typically 1-5 years) 4- Experience in working with satellite data, geospatial data (e.g. Rasterio, PyStack, GeoPandas, Shapely) 5- Experience with geospatial data formats and tools (GeoTIFF, COG, STAC, GDAL) 6- Experience with SQL and database management (PostgreSQL, PostGIS) Experience in AI, Machine Learning, Computer Vision (e.g. scikit-learn, scikit-image, TensorFlow, PyTorch), or a related field is preferable 6- Strong analytical thinking, problem-solving skills, and the ability to work independently Additional Skills (