Geospatial AI Engineer

Drones Tech Lab®️ stands as 𝗘𝗮𝘀𝘁𝗲𝗿𝗻 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗟𝗮𝗿𝗴𝗲𝘀𝘁 𝗗𝗿𝗼𝗻𝗲 𝗖𝗼𝗺𝗽𝗮𝗻𝘆, pioneering innovation and excellence in unmanned aerial systems. Renowned for its cutting-edge technology and forward-thinking approach, it has established itself as a leader in the industry. Recently, it made headlines by launching 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗟𝗮𝗿𝗴𝗲𝘀𝘁 𝗗𝗿𝗼𝗻𝗲 𝗣𝗶𝗹𝗼𝘁 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗦𝗰𝗵𝗼𝗼𝗹, a testament to its commitment to nurturing talent and driving progress in the field.

We are seeking a talented and innovative Geospatial AI Engineer to join our dynamic team. In this role, you will bridge the gap between geographic information systems (GIS) and artificial intelligence. Your primary responsibility will be to design, develop, and deploy intelligent geospatial solutions by integrating GIS data and methodologies with advanced Python programming, machine learning (ML), and deep learning (DL) models. You will transform raw spatial data into predictive insights and automated systems that solve real-world business problems.

Key Responsibilities:

• I-GIS Integration: Architect and implement robust pipelines to integrate diverse geospatial data sources (vector, raster, satellite imagery, IoT sensor data) with AI/ML workflows.
• Model Development: Design, train, validate, and deploy machine learning and deep learning models (e.g., for image classification, object detection, predictive modeling, spatial clustering) using geospatial data.
• Geospatial Data Engineering: Process, clean, and analyze large-scale spatial datasets using Python libraries (GeoPandas, Rasterio, Shapely) and GIS software.
• Automation & Solution Building: Develop automated scripts and tools to streamline geospatial analysis, model retraining, and data visualization processes.
• Collaboration: Work closely with cross-functional teams including data scientists, software developers, and domain experts to understand requirements and deliver integrated solutions.
• Stay Current: Proactively research and prototype new techniques at the intersection of geospatial science, computer vision, and AI.

Required Qualifications:

• Bachelor’s or Master’s degree in Geography, GIS, Computer Science, Data Science, Geomatics, Remote Sensing, or a related quantitative field.
• 3+ years of proven experience in a role combining GIS and data science/programming.
• Expertise in GIS: Proficiency with industry-standard GIS software (e.g., ArcGIS Pro, QGIS) and understanding of core spatial concepts (projections, spatial analysis, geoprocessing).
• Strong Python Programming: Advanced skills in Python for data analysis and modeling, with demonstrated experience using key geospatial libraries (GeoPandas, Fiona, Shapely, Rasterio) and scientific stacks (NumPy, Pandas, Scikit-learn).
• AI/ML Integration: Hands-on experience integrating GIS outputs into ML pipelines or applying ML algorithms to spatial data problems.

Preferred Skills (The Ideal Candidate Will Have):

• Machine Learning & Deep Learning: Proven experience building and deploying ML/DL models using frameworks such as TensorFlow, PyTorch, or Keras.
• Spatial ML Libraries: Familiarity with specialized libraries like scikit-learn spatial extensions, torchgeo, or Google's ee (Earth Engine) API.
• Cloud Geospatial Platforms: Experience with cloud-based geospatial services (Google Earth Engine, AWS SageMaker with geospatial capabilities, Azure Maps).
• Visualization & Communication: Ability to create compelling visualizations (using Folium, Dash, Plotly, or Power BI) and effectively communicate complex technical findings to non-technical stakeholders.