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Posted on 31 Jul, 2026
In Office
Job Description | Responsibilities
- Build large-scale geospatial data pipelines for AI model training.
- Curate and preprocess Earth observation datasets.
- Develop evaluation frameworks for geospatial foundation models.
- Analyze data quality, diversity, and model performance.
- Collaborate with ML, platform, and research teams.
- Optimize data storage, processing, and scalable ML workflows.
Overview
- Industry - IT - Software / Product Development, IT - INFORMATION TECHNOLOGY
- Job Role - Software Developer / Programmer, Data Scientist, AI-ML Engineer, Machine Learning Engineer, Data Quality Engineer
- Employment type - Full Time - Permanent
- Work Mode - In Office
Qualifications
- Any Graduate - Any Specialization
- Any Post Graduate - Any Specialization
- Any Doctorate - Any Specialization
Job Related Keywords
Cloud AWS
Analytics
Python
Power BI / PowerBI
Microsoft Azure
Data Science
Machine Learning
Artificial Intelligence
Geospatial Analytics
Remote Sensing
Earth Observation
Deep Learning
Data Engineering
Xarray
Dask
Rasterio
Computer Vision
Foundation Models
