AI Engineer - Geospatial & Mineral Exploration

OriginBluy is building AI systems to accelerate the discovery of critical and rare earth minerals the resources powering the global clean energy transition.

We combine Artificial Intelligence with Human Intelligence (AI + HI), integrating advanced machine learning with geological expertise to create next-generation exploration intelligence platforms. Our goal is to help mining and exploration organizations discover mineral resources faster, more accurately, and more cost-efficiently.

We are an early-stage, high-ownership team working directly on real exploration challenges from prospectivity modelling and remote sensing analysis to drill targeting and geological data integration.

ROLE OVERVIEW

We are seeking a technically strong AI Engineer with interest or experience in geospatial and mineral exploration data to help design and build intelligent systems that fuse multi-source earth datasets into actionable exploration insights.

You will work at the intersection of:

• Geoscience
• Machine learning
• Remote sensing
• Spatial analytics
• Exploration decision support

This is a foundational role where your work will directly shape our technology architecture and early product capabilities.

WHAT YOU WILL BUILD

In the first phase, you will contribute to:

• Satellite imagery processing and mineral signature detection workflows
• Drill hole and geochemical data modelling pipelines
• Spatial prospectivity and target generation models
• Multi-modal AI systems integrating imagery, tabular, and textual datasets
• Data infrastructure for exploration intelligence platforms

Your work will directly support real mineral exploration use cases.

KEY RESPONSIBILITIES

Remote Sensing & Geospatial Analysis

• Process multispectral and hyperspectral imagery (Sentinel-2, Landsat, ASTER, etc.)
• Develop workflows for lithological mapping and alteration detection
• Perform feature extraction, spectral indices, and terrain analysis
• Integrate raster and vector geospatial datasets

Exploration & Drilling Data Modelling

• Clean and model drill hole datasets (assays, lithology logs, coordinates)
• Develop ML models for mineralization prediction and anomaly detection
• Identify spatial patterns in geochemical and geological datasets
• Support 2D/3D subsurface interpretation workflows

Prospectivity Modelling & Target Generation

• Build predictive models using statistical and ML approaches
• Perform geospatial feature engineering
• Generate ranked exploration targets with confidence metrics
• Collaborate with geologists to interpret results

AI Architecture & Data Systems

• Build scalable data pipelines for heterogeneous exploration data
• Design multi-modal ML workflows combining imagery, tabular, and text data
• Support integration of geological databases and public datasets

Explore LLM-assisted workflows for geological reports and knowledge extraction.

WHO YOU ARE

We welcome candidates from either of the following backgrounds:

Profile A AI / Geospatial Engineer

• Strong ML or data science experience with geospatial or remote sensing exposure

Profile B Geoscientist / Mining Professional

• Background in geology, mining, or geophysics with programming and ML skills

Curiosity about mineral exploration is essential.

REQUIRED QUALIFICATIONS

• 25 years of experience in AI/ML, data science, or geospatial analytics
• Strong Python programming skills
• Experience working with spatial or scientific datasets
• Familiarity with machine learning frameworks (scikit-learn, PyTorch, TensorFlow, etc.)
• Understanding of data preprocessing, modelling, and evaluation workflows
• Ability to work in an interdisciplinary environment with domain experts

TECHNICAL SKILLS

Spatial & Geospatial:

• GeoPandas, Rasterio, GDAL, Shapely, PyProj
• QGIS, ArcGIS, or similar tools

Remote Sensing:

• Google Earth Engine or satellite imagery processing libraries
• Spectral analysis or image processing experience

Machine Learning:

• Scikit-learn, XGBoost, LightGBM
• PyTorch / TensorFlow (preferred)

Data Handling:

• Pandas, NumPy
• Scientific data formats (GeoTIFF, shapefiles, CSV, LAS, etc.)

Cloud or scalable processing experience is a plus.

GOOD TO HAVE

• Experience in mineral exploration, mining, or geoscience
• Knowledge of geochemistry or geological datasets
• 3D subsurface modelling tools
• Remote sensing for mineral mapping
• Experience with foundation models or LLM workflows
• Familiarity with Indian or global geological datasets
• Exposure to exploration standards (JORC, NI 43-101)

WHY JOIN ORIGINBLUY

• Work on frontier applications of AI in earth and resource discovery
• Be part of a founding team shaping the technology from the ground up
• Direct impact on critical mineral supply chains and energy transition
• High ownership environment with rapid learning
• Opportunity to work closely with domain experts in geology and mining
• Real-world datasets and applied problem solving not just research

TO APPLY

Send your CV, GitHub/portfolio (if available), and a short note describing a project where you applied AI to a geospatial, scientific, or complex dataset to:

sanjay.maurya@originbluy.com

BONUS

Experience working with datasets related to lithium, rare earth elements, nickel, copper, cobalt, or other critical minerals is highly valued.