Geospatial Data Scientist (Bengaluru)

Geospatial Data Scientist (Bengaluru)

06 Aug
|
Pixxel
|
Bengaluru

06 Aug

Pixxel

Bengaluru

Role: Geospatial Data Scientist

Employment Type: Full Time

Educational Qualification: B.S. or M.S. in Computer Science, Remote Sensing, Geoinformatics, Environmental Science, Physics, or a related field (or equivalent practical experience).

Work Experience:

0–3 years of experience applying machine learning to geospatial, remote sensing, or other scientific/spatial data (internships and academic research projects count).

Role Description:

We are seeking a Geospatial AI Practitioner to join our Analytics team. This is a hands-on, build-and-execute role: you'll implement, train, evaluate, and validate machine learning and deep learning models on Pixxel's hyperspectral satellite data and allied geospatial modalities, working under the guidance of senior scientists on both production and R&D; projects. You'll get exposure across the full stack of our intelligence platform, from raw data preparation and physically-informed modeling, through foundation-model fine-tuning, to the embedding- and retrieval-based systems we're building to search and reason over petabytes of imagery.





Responsibilities & Duties:

Build, train, and evaluate geospatial AI/ML models for applications such as crop classification, forest/biomass estimation, water quality retrieval, invasive species and land cover mapping, and change detection, under the direction of senior team members.
Prepare and preprocess hyperspectral, multispectral, and SAR datasets: co-registration, atmospheric/radiometric correction, glint and shadow masking, chip generation, and label wrangling.
Fine-tune and benchmark existing geospatial and foundation models (e.g., Prithvi, SatMAE, Segment Anything) on recent tasks and datasets.
Contribute to embedding- and segmentation-based approaches for large-scale image search and object-centric retrieval, as part of our broader platform's semantic search capabilities.
Integrate multimodal data sources: hyperspectral, SAR, weather, and ground-truth/in-situ data, into modeling pipeline

📌 Geospatial Data Scientist (Bengaluru)
🏢 Pixxel
📍 Bengaluru

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