Job Description

Position: Geospatial & AI/ML Engineer

Experience: 4–8 Years

Employment Type: Full-Time

Location: Bengaluru – Work from Office

About ETEBAS

ETEBAS is a technology-driven organization focused on building intelligent, data-driven solutions across business and enterprise use cases. The role brings together geospatial engineering, remote sensing, machine learning, and data science to develop scalable analytics and AI-driven products using geospatial and other structured datasets. About the Role As a Geospatial & AI/ML Engineer, you will work across geospatial data processing, satellite imagery, remote sensing, machine learning, and predictive analytics. You will design and implement data and ML pipelines, develop geospatial analytics, build and validate machine learning models, and collaborate with Engineering, Product, Data Science, and Geospatial teams to take solutions toward production.

Key Responsibilities

Develop and maintain Python-based geospatial data processing pipelines.

Analyze and process satellite imagery, remote sensing, raster, and vector geospatial datasets.

Build geospatial analytics solutions for agriculture, land use, environmental monitoring, and related use cases.

Perform vegetation and land-cover analysis using NDVI, EVI, and other remote sensing techniques.

Process and interpret SAR (Synthetic Aperture Radar) datasets. Develop and optimize spatial databases and workflows using PostGIS and Google Earth Engine (GEE). Design, develop, evaluate, and deploy machine learning models for classification, forecasting, recommendation, risk analytics, and other predictive use cases.





Build and optimize feature engineering pipelines; perform exploratory data analysis, statistical modeling, model validation, and performance monitoring.

Work with structured, financial, and geospatial datasets to develop predictive analytics and AI-driven solutions.

Contribute to AI solution architecture, production deployment, experiment tracking, model versioning, and technical documentation.

Collaborate closely with Product, Engineering, Data Science, and Geospatial teams to deliver scalable solutions. Ensure high-quality, accurate, efficient, and reproducible spatial data processing and ML workflows.

Required Technical Skills Programming & Data: Python, Pandas, NumPy, Data Visualization Geospatial: GDAL, Rasterio, GeoPandas, PostGIS, Google Earth Engine (GEE) Remote Sensing: Satellite Image Processing, Remote Sensing, NDVI, EVI, SAR Data Processing, Raster & Vector Data

Machine Learning: Machine Learning Algorithms, scikit-learn, XGBoost, PyTorch ML Engineering: Feature Engineering, Model Evaluation & Validation, MLflow, Experiment Tracking & Management, Model Versioning, Production Deployment Concepts

Core capabilities: Strong analytical, problem-solving, communication,



and cross-functional collaboration skills Preferred / Added Advantage Experience in Geospatial Machine Learning or applying ML to satellite imagery and geospatial datasets. Experience in Agriculture Analytics, environmental analytics, or land-use applications. Experience with Financial Risk Modeling, Credit Scoring, Fraud Detection, or alternative data analytics.

Hands-on experience with imbalanced datasets and classification/risk prediction models. Familiarity with cloud-based geospatial processing workflows.

Experience with organizations such as ISRO, NRSC, or a leading geospatial technology organization.

Familiarity with Hindi and/or regional Indian languages is desirable for language-based AI initiatives.

Educational Qualification :Bachelor’s or Master’s degree in Geoinformatics, Remote Sensing, GIS, Geography, Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related discipline. What We're Looking For Strong technical expertise with an interest in combining geospatial technologies and AI/ML.

A disciplined, responsible, cooperative, and solution-oriented professional. Strong analytical and problem-solving ability. Ability to work full-time from the ETEBAS Bengaluru office.

Important Note

The responsibilities and skills outlined above are indicative and not exhaustive. The role may evolve based on business priorities, technological advancements, project requirements, and organizational growth. The selected candidate may be assigned additional responsibilities aligned with ETEBAS’s strategic objectives and operational needs

Benefits:

- Food provided
- Paid sick time

Work Location: In person

📌 Geospatial and Remote Sensing Engineer (Hebbal)
🏢 ETEBAS
📍 Hebbal