6 Geospatial Jobs

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.

Role & responsibilities Strong proficiency in SQL and experience with database management systems. Strong proficiency in Geospatial Analysis. Strong proficiency in data analytics tools such as Dataiku and Tableau. Extensive experience with data modelling, data transformation, and data analysis. Strong understanding of ETL processes and data integration techniques. Good to have skills: Familiarity with programming languages such as Python is a plus. Knowledge of cloud platforms such as AWS, Azure, or GCP is beneficial. Experience with version control systems like Git.

Hi , Greetings of the day, We have our ongoing requirement "Sr Geospatial Engineer" - Hyderabad Location currently, requesting you to revert back with your updated profile, if you're interested for the same, Immediate Joiners Preferred Mode of Work : Work From Office Only(Hyderabad) Interested candidates can share their updated resume to "skeramadha@adaequare.com" Job Summary: We are seeking an experienced Geospatial Engineer with 5 to 9 years of hands-on experience in the geospatial industry. The ideal candidate will have a strong background in spatial data analysis, geospatial technologies, and GIS (Geographic Information Systems), and will play a critical role in delivering accurate and actionable geospatial solutions to meet project and client needs. The candidate will have the opportunity to lead complex geospatial projects, work closely with multidisciplinary teams, and provide insights to drive business and operational decisions. Key Responsibilities: Lead and manage geospatial projects, ensuring timely and accurate delivery of results. Perform spatial data collection, processing, and analysis using advanced GIS software (ArcGIS, QGIS, etc.). Integrate geospatial data from multiple sources (satellite imagery, LiDAR, aerial surveys, etc.) into comprehensive models. Develop and maintain geospatial databases, ensuring data quality and integrity. Create detailed maps, charts, and reports to support engineering, planning, and decision-making processes. Provide technical expertise in geospatial analysis for infrastructure, urban planning, and environmental projects. Collaborate with cross-functional teams (e.g., engineers, environmental scientists, urban planners) to incorporate geospatial data into project designs. Oversee and mentor junior team members, providing guidance and technical support. Design and implement geospatial data collection strategies (surveying, GPS, UAVs). Stay up-to-date with emerging geospatial technologies and industry best practices. Ensure compliance with local and international geospatial data standards and regulations. Provide troubleshooting and technical support to internal and external stakeholders on geospatial systems and applications. Qualifications: 5 to 9 years of experience in the geospatial field, including hands-on work with GIS, remote sensing, and spatial data analysis. Strong proficiency in GIS software (e.g., ArcGIS, QGIS, ERDAS Imagine, ENVI). Experience with geospatial programming languages and tools (Python, R, SQL, etc.). Familiarity with GPS and remote sensing technologies, including LiDAR, UAVs, and satellite imagery. Knowledge of geospatial data formats, databases, and geodatabase management. Solid understanding of geospatial analysis techniques and spatial modeling. Ability to work with large datasets and perform spatial data transformations. Strong communication skills and the ability to present complex technical concepts to non-technical stakeholders. Ability to work independently and as part of a team in a fast-paced environment. Professional certifications (e.g., GISP, ASPRS) are a plus. Thanks & Regards Saikumar Eramadha ADAEQUARE | TAXILLA | UDYOG Designation: Sr Executive Talent Acquisition Email: Skeramadha@adaequare.com Address: North East Block, First Floor, Display Building, NAC Campus, Cyberabad, Kondapur (Post), Hyderabad 500 084 URL: http://www.adaequare.com | www. http://www.taxilla.com/| www.udyogsoftware.com ISO 27001 | Microsoft Gold Certified | SAP Hybris Partner | SAP Integration Partner

Magik Programming Developer Experience: 4-6 Years Exp Salary : Upto USD 2,400 / month Preferred Notice Period : Within 30 Days Shift : 12:30PM to 9:30PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, 12 Months (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Database management, Geospatial, Magik, Schematics, SmallWorld GIS, Software Development Good to have skills : XML and XSD Johannesburg IT service and consultancy (One of Uplers' Clients) is Looking for: Magik Programming Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Magik Programming Developer We are looking for a Senior Smallworld Developer with proven expertise in Magik programming to contribute to the design, development, and maintenance of our geospatial solutions. The ideal candidate will have a passion for solving complex problems, a strong background in Smallworld GIS, and a track record of successful project delivery. Qualifications: A qualification in Information Technology, or a related field. 2 years of Proven experience as a Smallworld Developer with expertise in Magik programming. Strong understanding of geospatial concepts and Smallworld GIS. Experience in the full software development life cycle, from design to deployment. Excellent problem-solving and analytical skills. Effective communication skills with the ability to collaborate with team members and clients. Preferred Skills: Familiarity with Smallworld Core Spatial Technology (CST) modules, especially S/W430. Experience working on geospatial projects. Knowledge of database management systems, especially in a GIS context." Responsibilities: Collaborate with cross-functional teams to design and develop robust Smallworld GIS applications. Code, test, debug, and implement Magik scripts to enhance system functionality. Perform system analysis and troubleshooting to identify and resolve issues. Work closely with clients to understand their requirements and provide customized solutions. Keep abreast of industry trends and advancements to contribute to continuous improvement. Knowledge in schematics. Interview Process: 1 round of technical interview How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Hiring Partner: We offers the highest quality of Information Technology products and services on the market today. We have provided superior service to our customers and have assisted them in achieving their goals. Our advanced experience and commitment to excellence have earned us the reputation as the best Information technology company in the area. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

ROLES AND RESPONSIBILITIES: Travel to allotted project site location for site survey, At site observe and report: Measure the boundary of the site with use Googleapp. Verify the access pathway from the main road and mark in the map. Identify if any ups and down inside the site, Observe the soil condition and mention in the report If any transmission line passing through the site (HT/LT) Distance between Site and nearest TNEB substation with SS Name & Address. With capacity (230/110/33/22/11)OR (110/33/22/11)OR 33/11 etc If any industries nearest area like Cement factory or Blue metal Quarry. Observe any PWD canal inside the site or any heavy rocks wells etc. Observe any big trees from the neighbour land boundary line. Observe if any boundary stone laid by the land owner etc.

Role & responsibilities Develop interactive maps using libraries and technologies like Leaflet.js, Mapbox, Google Maps API, and OpenLayers. Implement H3 Indexing for spatial partitioning and optimization to improve data analysis and map rendering performance. Manage and optimize geospatial data querying, storage, and transformation using Snowflake and Databricks. Leverage DuckDB for efficient local geospatial querying and real-time analysis. Develop and maintain clean, scalable, and type-safe code using TypeScript for frontend and backend geospatial solutions. Build spatial queries, conduct geospatial analysis, and optimize pipelines for mapping and visualization tasks. Collaborate with data engineers and backend developers to integrate geospatial data pipelines into cloud platforms (e.g., Snowflake and Databricks). Work with GIS tools (QGIS, ArcGIS) to analyse and visualize large-scale spatial data. Integrate mapping tools with cloud platforms and automate data workflows for geospatial analytics. Stay up-to-date with the latest tools and technologies in cloud data platforms, geospatial mapping, and spatial data indexing. Preferred candidate profile Bachelors degree in computer science, Geographic Information Systems (GIS), Data Engineering, or a related field. Proficiency in mapping libraries/APIs: Google Maps, Mapbox, Leaflet, OpenLayers, or similar. Experience with H3 Index for spatial indexing, analysis, and partitioning. Strong hands-on experience with Snowflake and Databricks for managing, analysing, and processing large-scale geospatial data. Proficiency with DuckDB for real-time geospatial querying. Strong programming skills in TypeScript and modern web technologies (HTML, CSS, JavaScript). Experience working with geospatial data formats: GeoJSON, KML, Shapefiles, and GPX. Familiarity with GIS software (QGIS, ArcGIS) for spatial data analysis. Solid understanding of SQL and experience optimizing spatial queries. Ability to collaborate in a cross-functional team and integrate solutions with cloud services. Perks and benefits Training in Databricks. Support on certifications. Hands-on AWS, Azure, and GCP. Support you on any cloud certification. Build leadership skills.