Responsibilities
- Apply machine learning techniques to automate and improve geospatial data processing and analysis.
- Develop models for applications such as palm detection, crop health monitoring, and predictive analysis.
- Develop and deploy mobile GIS apps for field data collection and decision support.
- Publish and maintain web maps, layers, and dashboards for various stakeholders.
- Manage data pipelines from desktop to web/mobile, including basic QA/QC and updates.
- Provide user support and training, especially for field deployments and offline use.
- Collaborate with Agronomy/Operations/R&D to gather requirements and improve tools.
- Document configurations, workflows, and basic SOPs for sustainability.
BASIC EDUCATION AND TRAINING
- Bachelor /Masterof Science in GIS, Remote Sensning, Geography, Agriculture or Land Survey.
- Minimum 3 years relevant experience (GIS/mobile/web GIS).
- Strong with ArcGIS platform (ArcGIS Pro & ArcGIS Online); Enterprise/Portal experience is an advantage.
- Experience building or configuring Mobile Apps (e.g., Field Maps/Survey123 or similar).
- Comfortable with data management (geodatabases, web layers, permissions, basic metadata).
- Problem-solver, independent and collaborative, clear communicator.
- Willing to travel frequently and work in plantation/field environments.
KNOWLEDGE AND SKILLS
- Good written and oral communication skills for creating and presenting GIS reports.
- Proficient in Esri product ie: Arcgis Pro, Webmaps and Arcgis Online, Global Mapper
- Strong proficiency in Python for geospatial scripting and automation (e.g., ArcPy, GeoPandas)
- Familiarity with applying machine learning frameworks (e.g., TensorFlow, PyTorch) to spatial data processing and analysis.
- SQL expertise for database querying, management, and integration with geospatial data (e.g., PostgreSQL/PostGIS, SQL Server).