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3.0 - 7.0 years

0 Lacs

hyderabad, telangana

On-site

As a candidate at GlobalLogic, your primary responsibility will involve analyzing spatial data obtained from various vendors to evaluate its alignment with client requirements. You will assess whether the data contributes value to the client's maps or introduces new records. Based on your analysis, you will provide recommendations to the client regarding the acceptance or rejection of the vendor data. To excel in this role, you should have at least 3 years of experience in a similar industry. Your technical skills should include a solid understanding of GIS map components and terminology, working with geographical information systems (GIS) to model and analyze linear and non-linear features, and familiarity with rendering and visualization techniques for vector data. Proficiency in preparing, converting, and extracting GIS data and shape files, along with experience in GIS Navigation projects, will be beneficial. Knowledge of Javascript and SQL is considered a plus. You will be responsible for diagnosing gaps in existing processes, identifying opportunities, and implementing initiatives to meet client and internal commitments consistently. Implementing corrective and preventive actions to ensure customer satisfaction, preparing process level requirements for self-assessment, and accessing and utilizing aerial photographs, satellite images, and vector data are key aspects of the role. Your tasks will also involve researching, collecting, storing, retrieving, and evaluating MAPS data, designing maps, and ensuring map accuracy. Your qualifications should include a graduate degree from a reputable institution. In terms of job responsibilities, you will be expected to perform quality assurance with a comprehensive understanding of mapping processes such as POIs, AOIs, and linear features. You will need to identify and report deficiencies in modeling real-world features and suggest improvements, evaluate search results using search queries in the Maps/GIS domain, and participate in transition team activities. At GlobalLogic, we prioritize a culture of caring, where people are valued and supported. You will experience an inclusive environment focused on continuous learning and development, interesting and meaningful work, balance, and flexibility. As part of a high-trust organization, you can expect to work on impactful projects with a focus on integrity and trust. GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to innovative companies worldwide. Since 2000, we have been driving the digital revolution by creating cutting-edge digital products and experiences. Join us to collaborate on transformative projects that redefine industries and shape the future of intelligent products, platforms, and services.,

Posted 2 days ago

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4.0 - 8.0 years

10 - 12 Lacs

Mumbai, Navi Mumbai, Mumbai (All Areas)

Work from Office

We are looking for Geospatial AI Engineer (Satellite, Drone & LiDAR Data Processing) Location - Mumbai. (WFO). Role Overview: We are looking for a Geospatial AI Engineer with hands-on experience in processing satellite, drone, and LiDAR data and deploying AI models for geospatial applications. The ideal candidate should have expertise in remote sensing, deep learning, and scalable AI deployment for real-world geospatial use cases. Key Responsibilities: - Geospatial Data Processing: Preprocess and analyze satellite, drone, and LiDAR datasets using GIS and remote sensing tools. - AI Model Development: Build, train, and fine-tune AI models for object detection, segmentation, land use classification, and anomaly detection in geospatial data. - Model Deployment & Optimization: Deploy geospatial AI models on cloud (AWS/GCP) and edge devices (Jetson, embedded systems), ensuring scalability and efficiency. - Geospatial Visualization: Utilize GIS tools (ArcGIS, QGIS, Google Earth Engine) to visualize and interpret model outputs. - Data Pipeline Automation: Develop end-to-end pipelines for geospatial AI workflows, integrating cloud storage, inference, and post-processing. - Collaboration: Work with GIS specialists, remote sensing experts, and software engineers to develop production-ready AI solutions. Required Skills: - Remote Sensing & GIS: Hands-on experience in processing and analyzing satellite, drone, and LiDAR data. - AI/ML for Geospatial Data: Proven experience in deep learning frameworks (TensorFlow, PyTorch) for geospatial applications. - Programming: Strong Python skills (Geopandas, Rasterio, OpenCV, PyTorch/TensorFlow). - Geospatial Data Processing: Experience with GDAL, PDAL, Google Earth Engine, and spatial databases (PostGIS). - Model Deployment: Hands-on experience deploying AI models on AWS/GCP/Azure and edge devices like NVIDIA Jetson. - End-to-End AI Solutions: Prior experience in deploying and maintaining geospatial AI models in real-world applications. Preferred Experience: - Proven track record of deployed models for land use classification, vegetation classification, deforestation monitoring, infrastructure mapping, flood prediction, etc. - Experience in optimizing AI models for real-time inference on cloud and edge computing platforms. - Exposure to hyperspectral/multispectral imagery and SAR data processing. - Knowledge of MLOps for managing geospatial AI pipelines. Education & Qualifications: Bachelor's/Masters degree in Computer Science, GIS, Remote Sensing, AI/ML, or a related field. 3+ years of industry experience with hands-on model deployment.

Posted 2 months ago

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