Senior MLOps Technical Lead

Job Summary

We are seeking an experienced Python Developer / Data Scientist for the Agro domain. The ideal candidate will possess strong expertise in geospatial data processing using the Python stack (GeoPandas, Shapely, Rasterio) and a deep understanding of coordinate reference systems.

• Expertise in vector/raster handling including polygons, GeoTIFFs, zonal statistics, clipping, masking, and resampling.
• Spatial joins, overlays, and intersection logic at scale (e.g., field polygon vs. land-cover raster).

Key Responsibilities

Focused on the Agro domain:

• Demonstrated understanding of crop types, growing seasons, and crop calendars.
• Knowledge of key agronomic risk drivers: drought, flood, frost, heat stress, hail, pests/disease.
• Familiarity with agricultural data sources such as land-cover products (MapBiomas), yield statistics, and soil data.
• Ability to translate agronomic concepts into robust data features like NDVI anomalies, precipitation deficits, and growing degree days.

Skill Requirements

Python and Data Science Core:

• Production-quality Python: code must be clean, tested, typed, and maintainable.
• Strong SQL skills, ideally with PostgreSQL.

Must Have Skills:

• Python
• ML Pipelines
• DevOps