Geospatial and Remote Sensing Engineer

Job Title: Geospatial and Remote Sensing Engineer Company: ETEBAS Job Category: Machine Learning Roles & Responsibilities: Job Description 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. Build geospatial analytics solutions for agriculture, land use, environmental monitoring, and related use cases. 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. 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 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 Work Location: In person Work Location: Karnataka, India Availability: Full time

Experience: 0-3 years 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 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. 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. Benefits: Key Skills: Machine Learning, Python, PyTorch, Pandas, NumPy, Feature Engineering Salary: Not disclosed