About the team: The team is responsible for map operations and data management, focusing on developing innovative solutions to improve spatial data accuracy and efficiency. The team collaborates across departments to drive data-driven decisions and enhance mapping capabilities. About the Assignment: This assignment aims to bring in a highly skilled individual to support and optimize map-related operations using advanced programming, AI, and data science techniques. The role is crucial for driving innovation and enhancing data workflows in mapping projects. The Core Objectives: Design and implement data pipelines to process and analyze large-scale spatial and non-spatial datasets. Develop AI-driven solutions to automate map operations and improve data accuracy. Collaborate with cross-functional teams to integrate advanced technologies and creative ideas into map-related workflows. Essential Experience / Criteria: Proficiency in programming languages such as Python and SQL, with hands-on experience in automating data pipelines using tools like Airflow, Spark, or similar. Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and familiarity with cloud-based data platforms (e.g., AWS, GCP, or Azure). Experience in data visualization using tools like Tableau, Power BI, or similar platforms. Excellent communication skills with the ability to confidently voice ideas, collaborate with diverse teams, and contribute to team discussions. Desirable Experience / Criteria: Familiarity with GIS tools (e.g., QGIS, ArcGIS) and geospatial libraries (e.g., GeoPandas, GDAL, Shapely). Experience working with spatial databases (e.g., PostGIS) or geospatial data platforms. Proven ability to experiment independently, think creatively, and develop innovative solutions tailored to operational needs.