On-site
Full Time
About Us ARMS 4 AI is a DIPP-certified, 100% Indian startup headquartered in New Delhi, specializing in AI-driven geospatial solutions. We harness multidisciplinary geospatial technologies to deliver innovative, strategic, and actionable insights. Our flagship product is a cutting-edge Revenue Maximization Cognitive Platform, designed specifically for the geospatial industry and powered by deep learning, artificial intelligence (AI), and machine learning (ML). We cater to four key sectors— Agriculture, Infrastructure, Environment & Natural Resources Management, and Defence —enabling clients to enhance productivity, reduce operational timelines, and drive better business outcomes, all with a single click. We are seeking a Geospatial Engineer with 2+ years of experience in handling Agriculture, Water and Soil (Natural Resource Management ) related projects. The ideal candidate will gain hands-on experience working on innovation-driven apps and platforms for the Geospatial and Space Industry. You will have the opportunity to collaborate and work with prestigious national and international clients. Roles & Responsibilities: Analyzing and handling spatial data through the use of Geospatial software's. Researching and developing methodologies for live projects in industries such as Agriculture, Natural Resource Management, Defence, and Infrastructure. Coordinating with Artificial Intelligence/ Machine Learning and other experts to integrate GIS functionality into applications. Handling and maintaining a high volume of geospatial data. Project reports and Presentation development. Diagnosing, communicating, and resolving integration issues across teams. Qualifications: M.Sc., MTech and PHD in Geoinformatics (Note: Diploma Degree not Allowed). 2+ years of industry experience in handling Agriculture/water/ Soil related projects. Proficient in software like ArcGIS, QGIS, Python, ERDAS, R, etc. Ability to multitask, organize, and prioritize work. Job Type: Full-time Pay: ₹800,000.00 - ₹900,000.00 per year Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 01/07/2025
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