Geospatial AI Engineer

Job Title: Geospatial AI Engineer Experience: 15 Years Location: Hyderabad Job DescriptionWe are looking for a talented Geospatial AI Engineer to join our AI team. The ideal candidate will have hands-on experience in developing AI solutions for analyzing satellite imagery, drone data, and location-based datasets using machine learning, computer vision, and geospatial technologies. You will work closely with business, data science, GIS, and engineering teams to build secure, scalable, and high-performance geospatial AI applications. Key ResponsibilitiesDesign, develop, and deploy AI solutions for geospatial and location-based analytics.Build machine learning and deep learning models for satellite image analysis, object detection, land-use classification, segmentation, and change detection.Process and analyze satellite imagery, drone imagery, raster datasets, and geospatial data.Develop data preprocessing, annotation, and feature extraction pipelines for geospatial datasets.Perform spatial analysis and integrate GIS data with AI models to generate actionable insights.Optimize AI models for accuracy, scalability, and production deployment.Collaborate with cross-functional teams to integrate AI models into enterprise geospatial applications.Validate model performance using appropriate geospatial evaluation metrics.Ensure data quality, security, and compliance throughout the AI development lifecycle.Document technical solutions and support deployment, monitoring, and continuous model improvement.Required SkillsStrong programming experience in Python.Hands-on experience with GIS, Remote Sensing, and Spatial Analytics.Experience working with Raster Data, satellite imagery, and geospatial datasets.Strong knowledge of Computer Vision, image processing, and deep learning techniques.Experience with frameworks such as PyTorch, TensorFlow, OpenCV, or similar AI libraries.Familiarity with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, PostGIS, ArcGIS, or QGIS.Strong analytical, problem-solving, and communication skills.Preferred SkillsExperience with Earth Observation (EO) data, drone imagery, or LiDAR datasets.Knowledge of geospatial databases and spatial indexing techniques.Experience deploying AI models using Docker, REST APIs, FastAPI, or cloud platforms (AWS, Azure, or GCP).Familiarity with MLOps, model monitoring, and CI/CD pipelines.QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Geoinformatics, GIS, Remote Sensing, or a related field.15 years of overall experience, including 12 years of relevant hands-on experience in Geospatial AI, GIS, Remote Sensing, Computer Vision, or related technologies.Interested candidates can share their updated resume at:[HIDDEN TEXT] Job Title: Geospatial AI Engineer Experience: 15 Years Location: Hyderabad Job DescriptionWe are looking for a talented Geospatial AI Engineer to join our AI team. The ideal candidate will have hands-on experience in developing AI solutions for analyzing satellite imagery, drone data, and location-based datasets using machine learning, computer vision, and geospatial technologies. You will work closely with business, data science, GIS, and engineering teams to build secure, scalable, and high-performance geospatial AI applications. Key ResponsibilitiesDesign, develop, and deploy AI solutions for geospatial and location-based analytics.Build machine learning and deep learning models for satellite image analysis, object detection, land-use classification, segmentation, and change detection.Process and analyze satellite imagery, drone imagery, raster datasets, and geospatial data.Develop data preprocessing, annotation, and feature extraction pipelines for geospatial datasets.Perform spatial analysis and integrate GIS data with AI models to generate actionable insights.Optimize AI models for accuracy, scalability, and production deployment.Collaborate with cross-functional teams to integrate AI models into enterprise geospatial applications.Validate model performance using appropriate geospatial evaluation metrics.Ensure data quality, security, and compliance throughout the AI development lifecycle.Document technical solutions and support deployment, monitoring, and continuous model improvement.Required SkillsStrong programming experience in Python.Hands-on experience with GIS, Remote Sensing, and Spatial Analytics.Experience working with Raster Data, satellite imagery, and geospatial datasets.Strong knowledge of Computer Vision, image processing, and deep learning techniques.Experience with frameworks such as PyTorch, TensorFlow, OpenCV, or similar AI libraries.Familiarity with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, PostGIS, ArcGIS, or QGIS.Strong analytical, problem-solving, and communication skills.Preferred SkillsExperience with Earth Observation (EO) data, drone imagery, or LiDAR datasets.Knowledge of geospatial databases and spatial indexing t