Senior Geospatial AI Scientist — Production-Ready Solutions

<div>Job description<br><p></p><br><p><b>Discover the Opportunity</b></p><br><p><span>We’re partnering with an innovative, high-growth technology organisation in Abu Dhabi that is leveraging AI, geospatial data, and advanced technologies to build scalable, data-driven products.</span></p><br><p><span>Operating at the intersection of AI/ML and advanced analytics, the organisation is developing cutting-edge solutions that utilise large-scale geospatial datasets to drive insight and decision-making.</span></p><br><p><span>This is a unique opportunity to join a fast-growing team working on complex, real-world data challenges using advanced data science and machine learning techniques.</span></p><br><p></p><br><p><b>Discover the Role</b></p><br><p><span>As a Senior Data Scientist, you will act as a senior individual contributor responsible for developing advanced analytical and predictive models using large-scale geospatial datasets.</span></p><br><p><span>You will work closely with cross-functional teams including engineering, product, and data teams to design and deploy AI-powered solutions that extract meaningful insights from complex geospatial data.</span></p><br><p><span>This role is highly hands-on and suited to individuals who enjoy working at the intersection of research, engineering, and production systems, with the opportunity to influence both product development and technical direction.</span></p><br><p></p><br><p><b>Discover the Responsibilities</b></p><br><p><span>·</span><span>Develop and deploy advanced AI/ML models to extract insights from large-scale geospatial and remote sensing datasets.</span></p><br><p><span>·</span><span>Apply techniques such as computer vision, deep learning, and statistical modelling to solve complex analytical problems.</span></p><br><p><span>·</span><span>Work with satellite, drone, and sensor data to build models for classification, detection, prediction, and optimisation.</span></p><br><p><span>·</span><span>Design and build scalable data pipelines and AI systems for processing, analysing, and visualising high-volume geospatial data.</span></p><br><p><span>·</span><span>Collaborate with software engineers, data engineers, and product teams to deliver production-ready AI solutions.</span></p><br><p><span>·</span><span>Evaluate and implement new models, techniques, and approaches to improve performance and scalability.</span></p><br><p><span>·</span><span>Communicate insights and model outputs clearly to both technical and non-technical stakeholders.</span></p><br><p></p><br><p><b>Discover the Requirements</b></p><br><p><span>·</span><span>Master’s degree or higher in Data Science, Computer Science, Engineering, Mathematics, or a related field.</span></p><br><p><span>·</span><span>Strong hands-on experience building AI/ML models in geospatial, computer vision, or remote sensing domains.</span></p><br><p><span>·</span><span>Experience working with large-scale geospatial datasets, including satellite imagery, drone data, or LIDAR.</span></p><br><p><span>·</span><span>Proficiency in tools and frameworks such as Python, PyTorch, TensorFlow, and geospatial tools (e.g. QGIS, ArcGIS).</span></p><br><p><span>·</span><span>Experience with deep learning techniques such as CNNs, RNNs, or similar approaches for image and pattern analysis.</span></p><br><p><span>·</span><span>Experience deploying models into production environments on cloud platforms (AWS, GCP, or Azure).</span></p><br><p><span>·</span><span>Strong understanding of data analysis, statistical modelling, and performance evaluation techniques.</span></p><br><p><span>·</span><span>Experience working in cross-functional teams to productionise AI models and deliver real-world applications.</span></p><br><p></p><br><p><b><span>Apply Now!</span></b></p><br><br></div>#J-18808-Ljbffr