66 Gdal Jobs

Build and maintain full-stack GIS web applications using PostgreSQL, Express.js, React.js, and Node.js. Work knowledge of PostGIS Ingest and process various spatial data formats Solid understanding of GIS principles, and coordinate systems

Position : Team Lead(AI-ML) Experience : 6-15 Years Location: Pune This is a high-priority requirement in the Geospatial AI domain , and I need your support in sourcing candidates urgently. The candidate must have experience in Geospatial AI areas such as remote sensing, GIS analytics, spatial statistics, satellite or aerial imagery analysis, land use/land cover mapping, and change detection. They should also be comfortable working with raster and vector data processing using tools like QGIS, ArcGIS, PostGIS, GDAL, or OGR. In addition, we are looking for niche expertise in Point Cloud and 3D Computer Vision . The must-have skills here are: Point cloud processing (LiDAR/MLS) 3D computer vision 3D deep learning frameworks (PointNet, PointNet++, KPConv, RandLA-Net, SparseConv) Hands-on experience with Open3D, PCL, or PDAL , and frameworks such as PyTorch3D or TensorFlow 3D is also essential. It will be an added advantage if the candidate has worked on panoramic imagery, 3D object detection, segmentation tasks, SLAM, photogrammetry, or 3D visualization tools (Potree, CesiumJS, Three.js). Finally, prior exposure to roadside asset detection (signs, poles, guardrails, lanes) would also be beneficial.

Position : AI-ML Engineer Experience : 2-5 Years Location : Pune This is a high-priority requirement in the Geospatial AI domain , and I need your support in sourcing candidates urgently. The candidate must have experience in Geospatial AI areas such as remote sensing, GIS analytics, spatial statistics, satellite or aerial imagery analysis, land use/land cover mapping, and change detection. They should also be comfortable working with raster and vector data processing using tools like QGIS, ArcGIS, PostGIS, GDAL, or OGR. In addition, we are looking for niche expertise in Point Cloud and 3D Computer Vision . The must-have skills here are: Point cloud processing (LiDAR/MLS) 3D computer vision 3D deep learning frameworks (PointNet, PointNet++, KPConv, RandLA-Net, SparseConv) Hands-on experience with Open3D, PCL, or PDAL , and frameworks such as PyTorch3D or TensorFlow 3D is also essential. It will be an added advantage if the candidate has worked on panoramic imagery, 3D object detection, segmentation tasks, SLAM, photogrammetry, or 3D visualization tools (Potree, CesiumJS, Three.js). Finally, prior exposure to roadside asset detection (signs, poles, guardrails, lanes) would also be beneficial.

Job Description – Software Engineer (Machine Learning) We are looking for an experienced Software Engineer – Machine Learning with 3–5 years of proven expertise in designing, developing, and deploying AI/ML solutions at an enterprise level. The ideal candidate will bring hands-on experience in Computer Vision, Deep Learning, Generative AI, and GIS-based AI applications, along with strong programming, analytical, and solution-building skills. In this role, you will contribute to the development of AI-powered GIS platforms, multimodal and geospatially aware models, and real-time feature detection systems, playing a key role in the end-to-end lifecycle of enterprise-grade AI/ML solutions. Must Have -3–5 years of hands-on experience in implementing AI/ML solutions in enterprise or large-scale production environments. -Strong programming proficiency in Python with practical use of TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV. -Proven experience with Computer Vision architectures, including YOLO, SAM, U-Net, and other CNN-based models for real-time object detection, segmentation, and feature extraction. -Expertise in image classification using advanced CV models (e.g., ResNet, VGG, YOLOv5/v8, EfficientNet). -Deep understanding and implementation experience of machine learning algorithms (supervised, unsupervised, and reinforcement learning) for classification, regression, and clustering. -Experience in Generative AI and Large Language Models (LLMs), including transformers, diffusion models, multimodal pipelines, and speech-to-text/NLP solutions. -Strong foundation in mathematics, statistics, data structures, algorithms, and optimization techniques. -Hands-on experience with RNNs/LSTMs, hybrid neural architectures, and temporal/spatiotemporal modeling. -Practical knowledge of Agentic AI systems (AI agents, multi-agent workflows, or autonomous agent design). -GIS domain expertise – demonstrated ability to integrate AI/ML with geospatial datasets, satellite imagery, and spatial analytics to deliver practical solutions. -End-to-end experience in AI/ML solution lifecycle – from data preprocessing, model training, evaluation, deployment, and scaling. Hands-on exposure to geospatial toolkits/libraries (e.g., GDAL, GeoPandas, QGIS, ArcGIS APIs) and their integration with ML workflows. Should Have -Working knowledge of MLOps/LLMOps workflows for scalable, automated AI/ML deployments (CI/CD, containerization, orchestration). -Experience with enterprise-grade data platforms (cloud-native, distributed systems) ensuring high performance and interoperability with AI workloads. -Practical exposure to geospatial feature extraction, change detection, and segmentation workflows. -Strong ability to communicate AI/GIS solutions, collaborate with cross-functional teams, and translate research into applied enterprise use cases. Could Have -Certifications in AI/ML, GIS, or cloud platforms (AWS, Azure, GCP). -Familiarity with scientific computing libraries (SciPy, Theano, Julia ecosystem). -Experience contributing to AI/GIS research publications, open-source projects, or innovation programs. -Knowledge of emerging paradigms such as federated learning, multi-agent systems, spatial AI, or Responsible AI practices.

We are seeking a skilled and detail-oriented Data Scientist to play a crucial role in our computer vision projects. As a Data Scientist, you will be responsible for managing the full data lifecycle, from data collection and cleaning to annotation and analysis. Your primary focus will be on preparing high-quality datasets for computer vision tasks to ensure our machine learning models have the best data for learning. In this role, you will collaborate with ML Engineers and Data Engineers to design datasets, define evaluation metrics, source high-quality data, and extract actionable insights from AI models. Key responsibilities include identifying and managing large-scale datasets, overseeing the annotation and labelling of images, cleaning and preprocessing raw data, designing data augmentation strategies, and performing exploratory data analysis. Additionally, you will be involved in developing statistical and ML models for size estimation, orientation, and movement patterns, implementing quality control protocols for annotated data, working closely with domain experts to define data requirements, and selecting and evaluating models with ML Engineers. The ideal candidate should have at least 3 years of experience as a Data Scientist, preferably in computer vision or geospatial AI, with strong skills in Python and experience with image datasets and deep learning frameworks like PyTorch and TensorFlow. Proficiency in SQL, data pipelines, and communication skills are essential for this role. Preferred qualifications include familiarity with multi-object tracking, trajectory analysis, segmentation, fine-grained classification, and data visualization tools. Experience with satellite and geospatial data, as well as AIS data and open-source maritime datasets, would be advantageous. This position offers the opportunity to work on impactful AI projects, collaborate with a strong ML/AI engineering team, enjoy a flexible working setup, and receive competitive compensation and growth opportunities. If you are open to working from the office for the Nashik location and meet the required qualifications, we encourage you to apply for this full-time Data Scientist position. Benefits include health insurance and provident fund.,

The company Dygnify, a funded climate-tech company, is seeking a Climate Data Modelling Analyst for a full-time, hybrid position based in Hyderabad. If you are enthusiastic about developing industry-ready climate models and keen on gaining hands-on experience in this field, this opportunity provides you with a chance to work alongside seasoned experts and company founders at Dygnify. Your responsibilities in this role will include developing and refining models for different types of extreme climate events, analyzing hydrological and hydraulic processes using tools like HEC-HMS, HEC-RAS, ArcGIS, and QGIS, as well as automating workflows and analyzing extreme climate event risk with Python and AI/ML toolkits. You will collaborate with a multidisciplinary team and receive guidance from industry experts. The ideal candidate for this position will have a strong interest in extreme climate event modelling, proficiency in Python and various related libraries, familiarity with tools such as HEC-HMS, HEC-RAS, ArcGIS, and QGIS, and the ability to work independently while delivering results efficiently. An ideal profile would include a background in Civil Engineering, Geospatial, Hydrology, or Water Resources, with prior experience in building extreme climate event models using the mentioned tools. By joining Dygnify, you will have the opportunity to gain hands-on experience in developing practical, industry-ready climate risk models, receive direct mentorship from company founders and seasoned industry experts, and work at the forefront of climate risk intelligence & AI/ML in a fast-growing startup. If you are passionate about climate modelling and solving real-world challenges while meeting the criteria mentioned above, you can apply by sending your CV and a short statement on your previous climate data modelling experience to nishant@dygnify.com and surabhi@dygnify.com with the subject line "Climate Data Modelling Analyst (Full-time) Hyderabad". Dygnify looks forward to collaborating with talented individuals eager to make an impact in climate risk modelling.,

TUMC Pvt. Ltd. is looking for GIS Analyst to join our dynamic team and embark on a rewarding career journey Data Collection and Management:Acquire, collect, and organize geospatial data from various sources including satellite imagery, aerial photographs, GPS data, and survey records Validate and preprocess geographic data to ensure accuracy, consistency, and completeness for analysis and mapping purposes Spatial Analysis and Modeling:Perform spatial analysis using GIS software to identify patterns, trends, and relationships within geographic datasets Conduct geospatial modeling, interpolation, and statistical analysis to generate insights and support decision-making processes Map Creation and Visualization:Design and create maps, charts, and visualizations to effectively communicate spatial information, trends, and analysis results to stakeholders Develop interactive web maps and dashboards using GIS software and web mapping APIs for data exploration and dissemination Customization and Automation:Customize GIS workflows, scripts, and tools using scripting languages (eg, Python, JavaScript) and GIS programming interfaces (eg, ArcPy, GDAL) to automate repetitive tasks and streamline processes Develop and maintain GIS databases, metadata, and documentation to support data management and sharing across departments or organizations Spatial Database Management:Design and maintain spatial databases using GIS software and database management systems (eg, PostgreSQL, Oracle Spatial) to store, query, and analyze geospatial data efficiently Ensure data integrity, security, and accessibility through database administration, backup, and recovery procedures Project Collaboration:Collaborate with interdisciplinary teams including planners, engineers, environmental scientists, and policymakers to integrate GIS analysis into project planning, design, and implementation Provide technical expertise and support to project teams on GIS-related matters, including data interpretation, methodology development, and visualization techniques Quality Assurance and Documentation:Conduct quality assurance checks and validation processes to verify the accuracy and reliability of GIS data and analysis results Document methodologies, workflows, and analysis procedures to ensure transparency, reproducibility, and accountability in GIS projects

We are seeking a skilled GIS Analyst to support our development team by preparing, analyzing, and optimizing geospatial datasets for game integration. You will play a critical role in sourcing, preprocessing, and manipulating various types of GIS data for use in digital terrain models, overlays, and real-time map visualizations. Key Responsibilities Source and preprocess GIS datasets including: Digital Elevation Models (SRTM, LiDAR, etc.) Satellite imagery (e.g., Sentinel, Landsat) Vector layers (roads, rivers, buildings, vegetation) Convert and manage GIS formats (GeoTIFF, shapefiles, KML, etc.) Generate terrain overlays and conduct terrain analysis (slope, aspect, contour generation) Work with development team to integrate geospatial data into the simulation engine Create and maintain metadata and documentation of GIS datasets Support creation of line-of-sight (LOS), viewshed, and movement analysis Use tools such as QGIS, GRASS GIS, GDAL, and Python for data processing Optimize GIS layers for performance in a game engine (e.g., tile-based streaming, LOD models) Required Skills Proficiency in GIS software (QGIS, GRASS GIS) Strong command of geospatial libraries and tools (GDAL, rasterio, geopandas, etc.) Experience with terrain modeling, digital surface/terrain models, and geoprocessing Knowledge of geospatial coordinate systems and projections Ability to script in Python for automated GIS workflows Experience working with large raster and vector datasets Preferred Qualifications Experience with integrating GIS data into game engines (Unity/Unreal/Custom) Background in geospatial simulations or tactical games Familiarity with web-based mapping (Leaflet, Mapbox, etc.) is a plus. Interested ? Drop your resume at hr-manager-anchal@navyuginfo.com or apply via DM. Let’s build something impactful—together. Job Type: Full-time Pay: ₹30,000.00 - ₹60,000.00 per month Benefits: Health insurance Provident Fund Work Location: In person

As a Python Developer with a strong GIS background, you will play a crucial role in our team by developing and maintaining web-based GIS applications. Your responsibilities will include managing geospatial data workflows and utilizing geospatial Python libraries to address real-world spatial challenges. It is essential that you have experience with Django, GDAL, and other Python-based geo libraries. Your key responsibilities will involve developing, maintaining, and optimizing GIS-based web applications using Python and Django. You will work with various geospatial data formats such as Shapefiles, GeoJSON, KML, and raster datasets. Additionally, you will leverage libraries like GDAL, Fiona, Shapely, Rasterio, GeoPandas, and PyProj for data processing and spatial analysis. Integration of mapping solutions and visualization tools like Leaflet.js, OpenLayers, or Folium may also be required. Creating and managing APIs for spatial data access and manipulation will be part of your role, alongside performing spatial analysis, data conversion, and coordinate system transformations. It is important that you write clean, scalable, and well-documented Python code. Collaboration with frontend developers, GIS analysts, and data engineers to implement features and resolve issues will also be essential. To excel in this role, you should demonstrate proficiency in Python with a focus on geospatial programming. Hands-on experience with Django or similar web frameworks is necessary. A strong understanding of GIS concepts, spatial databases, and coordinate reference systems is crucial. Your expertise in geospatial libraries such as GDAL/OGR, GeoPandas, Shapely, Fiona, Rasterio, and PyProj will be highly valuable. Experience with spatial databases like PostgreSQL/PostGIS is a plus. Familiarity with RESTful APIs and integrating geospatial data services is desired, along with knowledge of data formats like GeoTIFF, GeoJSON, WKT, and WKB. Your ability to efficiently handle large spatial datasets will be beneficial in this role. The ideal candidate for this position should have a minimum of 2 years of relevant experience. The salary range for this position is negotiable, with an annual package between 4,00,000 to 6,00,000 INR.,

Following selection criteria will be strictly followed - Graduated in 2021 or before 4+ YOE in the industry, excluding any career breaks Python or Java proficiency is a MUST Should be able to join in 15 days once the offer letter is released Location - Noida What will you be building? SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based to its customers. As a full-stack engineer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. What are your responsibilities? Owning entire code bases, improving them over time, and killing tech debts Production systems - you will have full access to the end delivery systems. You will be talking about security issues, performance issues, and QA issues. Isn't that what complete ownership stands for? You make decisions and drive what's built in the future at SiteRecon. Whatever you need - tools, processes, people. Whatever makes the product great, you will have it all to make great software. Tech Stack - GCP, Pub/Sub, Postgres/PostGIS, Redis, Django/FastAPI/Spring Boot, GDAL, Geoserver, etc. A little bit about us - We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/ Hiring Manager - https://www.linkedin.com/in/innovationchef/ Drop a note to ankit@siterecon.ai if you want to discuss more about what you would be doing!

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri’s R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2702

As a Data Engineer specializing in geospatial data, your primary responsibility is to design, build, and maintain data infrastructure and systems that handle geospatial information effectively. You will work closely with cross-functional teams, including data scientists, geospatial analysts, and software engineers, to ensure that geospatial data is collected, processed, stored, and analyzed efficiently and accurately. Key Responsibilities: Data Pipeline Development: Design and implement robust data pipelines to acquire, ingest, clean, transform, and process geospatial data from various sources such as satellites, aerial, drones, and geolocation services. Data Ingestion, Storage and Extraction: Develop data models and schemas tailored to geospatial data structures, ensuring optimal performance and scalability for storage and retrieval operations. Spatial Database Management: Manage geospatial databases, including both traditional relational databases (e.g., PostgreSQL with PostGIS extension) and NoSQL databases (e.g., MongoDB, Cassandra) to store and query spatial data efficiently. Geospatial Analysis Tools Integration: Integrate geospatial analysis tools and libraries (e.g., GDAL, GeoPandas, Fiona) into data processing pipelines and analytics workflows to perform spatial data analysis, visualization, and geoprocessing tasks. Geospatial Data Visualization: Collaborate with data visualization specialists to create interactive maps, dashboards, and visualizations that effectively communicate geospatial insights and patterns to stakeholders. (frontend related) Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems, leveraging techniques such as indexing, partitioning, and parallelization to optimize geospatial data workflows. Data Quality Assurance: Implement data quality checks and validation procedures to ensure the accuracy, completeness, and consistency of geospatial data throughout the data lifecycle. Geospatial Data Governance: Establish data governance policies and standards specific to geospatial data, including metadata management, data privacy, and compliance with geospatial regulations and standards (e.g., INSPIRE, OGC). Collaboration and Communication: Collaborate with cross-functional teams to understand geospatial data requirements and provide technical expertise and support. Communicate findings, insights, and technical solutions effectively to both technical and non-technical stakeholders. Requirements:Must-have: Bachelor's or Master's degree in Computer Science or a related field. 3-5 years of experience working in the field and deploying the pipelines in production. Strong programming skills in languages such as Python, Java, or Scala, with experience in geospatial libraries and frameworks (e.g., Rasterio, Shapely). Experience with distributed computing frameworks (e.g., Apache Spark, Airflow) and cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform). Familiarity with geospatial data formats and standards (e.g., GeoJSON, Shapefile, KML) and geospatial data visualization tools (e.g., Mapbox, Leaflet, Tableau). Strong analytical and problem-solving skills, with the ability to work with large and complex geospatial datasets. Good-to-have: Proficiency in SQL and experience with geospatial extensions for relational databases (e.g., PostGIS). Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Nice to have experience with geospatial libraries such as Rasterio, Xarray, Geopandas, and GDAL. Nice to have Knowledge of distributed computing frameworks such as Dask. STAC, GeoParquet, Cloud native tools. Productionising Data Science code. The role of a Data Engineer for Geospatial Data is crucial in enabling organizations to leverage the power of geospatial information for various applications, including urban planning, environmental monitoring, transportation, agriculture, and emergency response. Benefits: Medical Health Cover for you and your family, including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal Job Type: Full-time Work Location: In person

As a Geospatial Data Analyst in Bangalore, you will be responsible for processing and analyzing geospatial data related to mining, construction, urban planning, and renewable energy projects. Your role will involve integrating geospatial datasets with the image analytics pipeline, developing geospatial visualizations and insights using maps and 3D models, and working with satellite, drone, LiDAR, and GIS data to generate actionable insights. To excel in this position, you should have proficiency in Geographic Information Systems (GIS) software such as ArcGIS, QGIS, or similar tools. Knowledge of spatial data formats like GeoJSON, Shapefiles, KML, etc., and expertise in remote sensing and photogrammetry for image processing are crucial requirements. Strong programming skills in Python or R with geospatial libraries like GeoPandas, Shapely, GDAL, and Rasterio are essential for this role. Experience with Azure services for geospatial data, including Azure Maps for geospatial analytics and Azure Data Lake for storing large geospatial datasets, will be advantageous. Additionally, you should possess strong mathematical and statistical skills for spatial analysis, familiarity with drone and satellite imagery processing pipelines, and knowledge of renewable energy project requirements such as wind turbine siting and solar panel layouts. If you are passionate about leveraging geospatial data to drive insights and solutions for diverse projects, this role offers an exciting opportunity to contribute to the fields of mining, construction, urban planning, and renewable energy.,

Responsibilities Contribute to the development of GIS and Remote Sensing inputs for EES models. Prepare and manage large-scale GIS datasets with a focus on accuracy, completeness, and usability. Perform digitization, editing, geo-referencing, re-projection, and raster/vector conversions. Conduct advanced remote sensing tasks such as image classification (supervised/unsupervised), topology validation, and data processing from satellite, aerial, and LiDAR sources. Develop and maintain spatial databases and geospatial repositories for model development. Source, extract, and preprocess elevation, land use/land cover, soil, and infrastructure exposure data from multiple portals and repositories. Perform raster-based spatial analysis and apply advanced geoprocessing techniques to extract relevant model insights. Automate GIS workflows using Python and related libraries for efficiency and repeatability. Collaborate with data scientists and modelers to integrate ML/DL models for building footprint extraction, land use classification, and related geospatial predictions. Interpret, analyze, and validate geospatial results and present them through well-documented reports, maps, charts, and dashboards. Work closely with cross-functional teams to support flood, earthquake, and other risk modeling initiatives. Ensure compliance with industry best practices and internal standards throughout the project lifecycle. Contribute to technical documentation and client-ready deliverables with high quality and professionalism. Qualifications Educational Background: M.Tech / M.Sc / B.Tech in Geo-Informatics, Geography, Remote Sensing & GIS, or related fields in Spatial Technologies Experience 35 years of relevant experience in GIS and Remote Sensing projects Must-Have Skills Proficient in ArcGIS Desktop, ArcGIS Pro, QGIS, ERDAS Imagine, IDRISI, and Google Earth Pro Familiarity with ArcGIS extensions (Spatial Analyst, 3D Analyst, Image Analyst, Network Analyst) Strong skills in raster processing, remote sensing, and spatial data analytics Solid programming experience in Python, especially using geospatial libraries: ArcPy, GDAL, Rasterio, GeoPandas, pyogrio, Fiona, Shapely, PyProj, etc. Good knowledge of SQL and R for spatial queries and data analysis Basic understanding of Machine Learning, Deep Learning, and AI techniques applied to spatial data Experience in designing, developing, and managing geospatial databases Strong communication skills for technical documentation, team collaboration, and presentations Ability to work both independently and collaboratively in a research and development environment Proactive and eager to learn, adapt, and contribute to innovation in catastrophe modeling Nice-To-Have Experience with WebGIS and ArcGIS Enterprise Exposure to C#, HTML, CSS, ReactJS, Javascript, PHP/NodeJS, POSTGIS/Geoserver, MATLAB, Power BI, or ProjectPlace Familiarity with geostatistical methods, data mining, and advanced spatial statistics Strong problem-solving and project management skills Interest in catastrophe modeling, insurance, and risk analytics Certifications in GIS/Remote Sensing/Data Science/AI About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you&aposll have the chance to use your voice and build a rewarding career that&aposs as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, weve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a Worlds Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. Were 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran&aposs status, age or disability. Verisks minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice Show more Show less

Terms of Reference (ToR) Analyst – WebGIS Developer About Tarutium Tarutium Global Consulting (pronounced as taru-shee-yum) delivers transformative insights, strategies, and solutions to drive sustainable, resilient, and inclusive global progress. Our mission is to `bridge the Science-Institutions-Society interface with a core agenda of providing transformative solutions to the development challenges. Established in 1996 by eminent development professionals, it caters to a diverse range of bilateral and multilateral agencies, government departments, corporations, and other development organizations through research, technology, solution innovations, and implementation support. Over the past two and a half decades, Tarutium has undertaken policy analysis, strategy development, action research, technical assistance, program design, project management support, assessments, and evaluations. We have addressed various institutional, financial, economic, social, and technical issues across diverse public systems, cultures, and corporate formations. Tarutium operates in Africa, the Middle East, South Asia, and Southeast Asian countries, including Afghanistan, Indonesia, Nepal, Bhutan, the Maldives, the UAE, Eswatini, Bangladesh, Tanzania, Myanmar, and others. The organization is committed to delivering high-quality, accurate, and concise consulting and advisory services. Tarutium's team of professionals boasts extensive national and international experience, along with a robust network of advisors, consultants, partner institutions, and associations worldwide. Our expertise spans critical sectors, including climate, disaster management, sustainability, infrastructure, urban services, social impact, economic growth, entrepreneurship, behaviour change, health, and more. By focusing on innovation and collaboration, we empower businesses, governments, foundations, and institutions with the knowledge, solutions, and tools they need to thrive in an ever-changing global landscape. For more information, visit our website www.tarutium.com Duties and Responsibilities Tarutium Global Consulting, through its Centre for Digital Transformation, is dedicated to driving innovation and sustainable growth across our IT and GIS service offerings. We are seeking a talented, motivated, and results-driven professional to join our strategic consulting team as a WebGIS Developer Analyst. In this role, you will play a key part in supporting our technology infrastructure, ensuring seamless operations, and contributing to the development and deployment of cutting-edge WebGIS solutions. You’ll collaborate with cross-functional teams to deliver impactful digital transformation strategies for our clients. Key Roles and Responsibilities: § Design and develop a WebGIS platform for spatial data hosting, visualization, and sharing § Provide technical support for WebGIS platforms and related IT systems § Implement and configure GeoServer / MapServer for OGC-compliant data services (WMS, WFS, WCS, CSW). Ensure the reliability, performance, and security of GIS infrastructure § Develop and maintain backend services using Python/Django (or equivalent frameworks) . § Manage and optimize spatial databases (PostgreSQL/PostGIS) . § Develop interactive web maps and dashboards using Leaflet / OpenLayers / MapLibre / Mapbox . § Integrate metadata catalogue and data discovery tools (e.g., GeoNetwork, CKAN ). § Deploy and maintain the system on Linux servers / Cloud platforms (AWS/Azure/GCP) . § Ensure system security, scalability, and multi-user access control. § training and documentation to users and administrators. § API Integration § Collaborate with stakeholders to understand requirements and deliver tailored solutions § Stay current with emerging technologies and industry best practices Qualification & Experience · Bachelor’s / Master’s degree in Computer Science, Information Technology, Geoinformatics, or any other discipline relevant to this role from reputed institutes · At least 5 years’ experience in designing, developing, and deploying a WebGIS platform · High personal & professional integrity. Team player with the ability to work under pressure and meet deadlines. Problem-solving attitude. Experience in managing teams and logistics · Excellent networking and partnership-building skills. · Good analytical and knowledge management skills, including writing, presentation skills, and documentation. · Excellent fluency in English. Able to communicate clearly and sensitively with internal and external stakeholders. · Ability to work independently and in a team environment. Technical Skills (Essential): · Strong programming experience in Python (Django/Flask) . · Experience with GeoServer, MapServer, and OGC standards (WMS, WFS, WCS, CSW). · Proficiency in PostgreSQL with PostGIS . · Web development skills: HTML, CSS, JavaScript, React/Vue/Angular . · Familiarity with Leaflet, OpenLayers, MapLibre, and Mapbox for web mapping. · Knowledge of GIS tools and libraries (GDAL/OGR, Fiona, Shapely, PyProj). · Deployment and system administration on Linux environments . · Experience with Docker/Docker Compose and version control ( Git/GitHub/GitLab ). · API Integration Other Technical Skills: · Experience with GeoDjango . · Knowledge of Celery/Redis for geoprocessing. · Metadata catalogue tools ( GeoNetwork/CKAN ). · Cloud deployment and scaling (AWS/Azure/GCP). · Security and role-based access management. · AI Integration Remuneration Attractive as per industry standards Location Ahmedabad (Gujarat). Joining Date Immediate Apply: Candidates can mail their CVs to hr@tarutium.com with the subject “ CV for Analyst – WebGIS Developer ” . Only shortlisted candidates will be contacted for the interview.

Job Title: GIS Developer Location: Remote - India Employment type: Fulltime Job Requirements BS in computer science, engineering, or related area 2+ years of experience as a software developer implementing GIS solutions Experience with publishing and administering map services using GeoServer and ArcGIS Server Experience with tuning and troubleshooting map services for optimal performance. Experience with maintaining and administering geodatabases using PostGIS, ArcGIS GeoDBs Knowledge of open-source GIS software like GeoServer, PostGIS, GDAL, GeoPandas and GeoSpark Proficiency with programming languages such as such as Python, Java, and TypeScript Experience working with ESRI APIs and tools (ArcObjects, Geoprocessing, ArcGIS Desktop/Server/Portal, ArcGIS Online, etc.) Knowledge of web frameworks such as Angular, React, Node.js, and Openlayers Experience with SQL databases such as PostgreSQL, SQL Server, Oracle, and MySQL Ability to work in an agile environment using Scrum and Kanban Desired Qualifications Experience in a hybrid on-premise and cloud environment (AWS, Azure, Google) Experience in the upstream oil/gas industry Experience with technologies such as Google Big Query, Airflow, Elastic Search, Spark, Kafka, Git, Azure DevOps, Terraform, VS Code, Kubernetes. Ability to analytically address complex problems, process critical data, establish facts, and draw quality conclusions Ability to quickly learn and debug large complex systems in ambiguous situations Outgoing personality and a good team player Excellent communication skills, both written and oral, in communicating with people at various levels of the organization

Essence of the profile Were looking for a skilled Python Developer to help us enhance our core backend systems and drive digital transformation in insurance. Key Responsibilities Design, develop, test, and maintain backend services using Python. Build and scale RESTful APIs for seamless integration with third-party platforms and clients. Collaborate closely with Product, Frontend, and DevOps teams to deliver high-quality solutions. Implement secure, scalable, and robust architecture patterns for SaaS applications. Work with relational (PostgreSQL/MySQL) and non-relational databases (MongoDB, Redis). Integrate with external APIs (e.g., payment gateways, CRMs, policy management tools). Write unit and integration tests to ensure system reliability. Optimize application performance and troubleshoot production issues. Requirements 3+ years of professional experience in backend development using Python (preferably Django, Flask, or FastAPI). Strong understanding of software engineering principles, RESTful APIs, and microservices architecture. Experience with database design and data modeling. Familiarity with Agile methodologies and Git workflows. Exposure to CI/CD pipelines and cloud platforms (AWS, Azure, or GCP). Solid grasp of API security, authentication (OAuth2, JWT), and data privacy standards. Excellent communication skills and team collaboration abilities. Nice to Have Familiarity with C++ development, Ability to integrate Python applications with C++ modules for performance-critical components. Exposure to Apache Arrow and Working knowledge of the Parquet file format, including reading/writing large datasets and optimizing data storage for analytics workflows. Exposure to geospatial data formats such as raster and vector, and experience using geospatial libraries like GeoPandas, Shapely, and Rasterio.

Responsibilities Contribute to the development of GIS and Remote Sensing inputs for EES models. Prepare and manage large-scale GIS datasets with a focus on accuracy, completeness, and usability. Perform digitization, editing, geo-referencing, re-projection, and raster/vector conversions. Conduct advanced remote sensing tasks such as image classification (supervised/unsupervised), topology validation, and data processing from satellite, aerial, and LiDAR sources. Develop and maintain spatial databases and geospatial repositories for model development. Source, extract, and preprocess elevation, land use/land cover, soil, and infrastructure exposure data from multiple portals and repositories. Perform raster-based spatial analysis and apply advanced geoprocessing techniques to extract relevant model insights. Automate GIS workflows using Python and related libraries for efficiency and repeatability. Collaborate with data scientists and modelers to integrate ML/DL models for building footprint extraction, land use classification, and related geospatial predictions. Interpret, analyze, and validate geospatial results and present them through well-documented reports, maps, charts, and dashboards. Work closely with cross-functional teams to support flood, earthquake, and other risk modeling initiatives. Ensure compliance with industry best practices and internal standards throughout the project lifecycle. Contribute to technical documentation and client-ready deliverables with high quality and professionalism. Qualifications Educational Background: M.Tech / M.Sc / B.Tech in Geo-Informatics, Geography, Remote Sensing & GIS, or related fields in Spatial Technologies Experience 3–5 years of relevant experience in GIS and Remote Sensing projects Must-Have Skills Proficient in ArcGIS Desktop, ArcGIS Pro, QGIS, ERDAS Imagine, IDRISI, and Google Earth Pro Familiarity with ArcGIS extensions (Spatial Analyst, 3D Analyst, Image Analyst, Network Analyst) Strong skills in raster processing, remote sensing, and spatial data analytics Solid programming experience in Python, especially using geospatial libraries: ArcPy, GDAL, Rasterio, GeoPandas, pyogrio, Fiona, Shapely, PyProj, etc. Good knowledge of SQL and R for spatial queries and data analysis Basic understanding of Machine Learning, Deep Learning, and AI techniques applied to spatial data Experience in designing, developing, and managing geospatial databases Strong communication skills for technical documentation, team collaboration, and presentations Ability to work both independently and collaboratively in a research and development environment Proactive and eager to learn, adapt, and contribute to innovation in catastrophe modeling Nice-To-Have Experience with WebGIS and ArcGIS Enterprise Exposure to C#, HTML, CSS, ReactJS, Javascript, PHP/NodeJS, POSTGIS/Geoserver, MATLAB, Power BI, or ProjectPlace Familiarity with geostatistical methods, data mining, and advanced spatial statistics Strong problem-solving and project management skills Interest in catastrophe modeling, insurance, and risk analytics Certifications in GIS/Remote Sensing/Data Science/AI About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice

Company Description Travitons Technologies Private Limited excels in Software Development, Outsourcing, and Engineering. We are dedicated to delivering innovative, high-quality, efficient, and customized software solutions tailored to diverse business needs. Role Description Position: Python Developer (Full-time, Remote) Experience Required: 3+ years As a Python Developer at Travitons, you will be responsible for building and maintaining geospatial applications. In addition to using geospatial libraries, you'll also design and consume Python-based APIs and web services using both FastAPI and Flask frameworks. Your daily responsibilities will include: Developing geospatial solutions using Python, GeoPandas, Rasterio, GDAL, and other geospatial libraries. Designing and building scalable, clean, and performant APIs using FastAPI—leveraging its support for automatic OpenAPI documentation, Pydantic data validation, and asynchronous operations . Implementing RESTful services using Flask, including writing lightweight microservices and integrating common Flask extensions . Structuring backend services and microservices for efficient geospatial data access, deployment, and integration. Managing geospatial data storage and access using AWS (especially S3), and potentially extending to other AWS services. Collaborating with cross-functional teams through coding, testing, reviewing, and deploying geospatial applications and APIs. Maintaining version control and CI/CD workflows using Git, and optionally leveraging tools like Docker and Kubernetes to enable robust deployments. QualificationsTechnical Skills Python Development: Minimum 3 years of experience in Python programming. Geospatial Tools: Proficient in geospatial libraries such as GeoPandas, Rasterio, and GDAL. API Frameworks: FastAPI: Experience with building APIs using FastAPI, including Pydantic modeling, OpenAPI docs, and async support . Flask: Experience building microservices or backend APIs using Flask and its ecosystem . Cloud & Infrastructure: Familiarity with AWS services—especially S3—and knowledge of containerization (Docker, Kubernetes) and CI/CD workflows . Version Control: Strong proficiency with Git and collaboration workflows. Soft Skills Excellent analytical and problem-solving abilities. Strong communication and collaboration skills for remote work. Self-motivated and independent in driving tasks remotely. Education (Preferred) Bachelor’s degree in Computer Science, Engineering, or a related field.

Job Summary We are seeking an experienced GIS Developer to design, develop, and maintain GIS-based applications, tools, and solutions. The role involves integrating spatial data with software applications to support analysis, visualization, and decision-making processes. Roles & Responsibilities Develop & customize GIS applications using ArcGIS, QGIS, Mapbox, OpenLayers, Google Maps API Design & implement spatial databases with PostGIS, Oracle Spatial, SQL Server (with GIS extensions) Process & visualize geospatial data using Python (Geopandas, GDAL), JavaScript, R Integrate GIS with enterprise systems via REST, SOAP, GeoServer, WMS/WFS Automate workflows using Python, JavaScript, SQL Work with remote sensing, satellite imagery, LiDAR data Perform spatial analysis, geocoding, network analysis Ensure application scalability & performance standards Collaborate with cross-functional teams & provide documentation, training, and support Qualifications Bachelor’s/Master’s in Computer Science or related field 5+ years in GIS development, spatial data management & geospatial programming Essential Skills Leadership & team management Project management (Agile/Scrum) Strong GIS technical expertise Problem-solving & analytical skills Excellent communication & interpersonal skills Preferred Skills & Experience Proficiency in ArcGIS (Pro, Server, Online), QGIS, Google Earth Engine Web GIS frameworks ( Leaflet.js, OpenLayers, Mapbox, CesiumJS ) Cloud GIS ( AWS, Google Cloud, Esri Cloud, Azure Maps ) Remote sensing, geocoding, spatial & network analysis LiDAR, satellite & drone data processing ML/AI in GIS applications Containerization ( Docker, Kubernetes ) Workflow automation with ETL tools (FME, GeoKettle) CI/CD pipeline management for GIS solutions Certifications: Esri Technical (ArcGIS Developer/Enterprise/Desktop), GISP, Cloud (AWS GIS specialization) You can also apply directly on our website: https://dic.gov.in/jobs/gis-developer-2/

Company Description Travitons Technologies Private Limited excels in Software Development, Outsourcing, and Engineering. We are dedicated to delivering innovative, high-quality, efficient, and customized software solutions tailored to diverse business needs. Role Description Position: Python Developer (Full-time, Remote) Experience Required: 3+ years As a Python Developer at Travitons, you will be responsible for building and maintaining geospatial applications. In addition to using geospatial libraries, you'll also design and consume Python-based APIs and web services using both FastAPI and Flask frameworks. Your daily responsibilities will include: Developing geospatial solutions using Python, GeoPandas, Rasterio, GDAL, and other geospatial libraries. Designing and building scalable, clean, and performant APIs using FastAPI—leveraging its support for automatic OpenAPI documentation, Pydantic data validation, and asynchronous operations . Implementing RESTful services using Flask, including writing lightweight microservices and integrating common Flask extensions . Structuring backend services and microservices for efficient geospatial data access, deployment, and integration. Managing geospatial data storage and access using AWS (especially S3), and potentially extending to other AWS services. Collaborating with cross-functional teams through coding, testing, reviewing, and deploying geospatial applications and APIs. Maintaining version control and CI/CD workflows using Git, and optionally leveraging tools like Docker and Kubernetes to enable robust deployments. QualificationsTechnical Skills Python Development: Minimum 3 years of experience in Python programming. Geospatial Tools: Proficient in geospatial libraries such as GeoPandas, Rasterio, and GDAL. API Frameworks: FastAPI: Experience with building APIs using FastAPI, including Pydantic modeling, OpenAPI docs, and async support . Flask: Experience building microservices or backend APIs using Flask and its ecosystem . Cloud & Infrastructure: Familiarity with AWS services—especially S3—and knowledge of containerization (Docker, Kubernetes) and CI/CD workflows . Version Control: Strong proficiency with Git and collaboration workflows. Soft Skills Excellent analytical and problem-solving abilities. Strong communication and collaboration skills for remote work. Self-motivated and independent in driving tasks remotely. Education (Preferred) Bachelor’s degree in Computer Science, Engineering, or a related field.

Company Description Travitons Technologies Private Limited excels in Software Development, Outsourcing, and Engineering. We are dedicated to delivering innovative, high-quality, efficient, and customized software solutions tailored to diverse business needs. Role Description Position: Python Developer (Full-time, Remote) Experience Required: 3+ years As a Python Developer at Travitons, you will be responsible for building and maintaining geospatial applications. In addition to using geospatial libraries, you'll also design and consume Python-based APIs and web services using both FastAPI and Flask frameworks. Your daily responsibilities will include: Developing geospatial solutions using Python, GeoPandas, Rasterio, GDAL, and other geospatial libraries. Designing and building scalable, clean, and performant APIs using FastAPI—leveraging its support for automatic OpenAPI documentation, Pydantic data validation, and asynchronous operations . Implementing RESTful services using Flask, including writing lightweight microservices and integrating common Flask extensions . Structuring backend services and microservices for efficient geospatial data access, deployment, and integration. Managing geospatial data storage and access using AWS (especially S3), and potentially extending to other AWS services. Collaborating with cross-functional teams through coding, testing, reviewing, and deploying geospatial applications and APIs. Maintaining version control and CI/CD workflows using Git, and optionally leveraging tools like Docker and Kubernetes to enable robust deployments. QualificationsTechnical Skills Python Development: Minimum 3 years of experience in Python programming. Geospatial Tools: Proficient in geospatial libraries such as GeoPandas, Rasterio, and GDAL. API Frameworks: FastAPI: Experience with building APIs using FastAPI, including Pydantic modeling, OpenAPI docs, and async support . Flask: Experience building microservices or backend APIs using Flask and its ecosystem . Cloud & Infrastructure: Familiarity with AWS services—especially S3—and knowledge of containerization (Docker, Kubernetes) and CI/CD workflows . Version Control: Strong proficiency with Git and collaboration workflows. Soft Skills Excellent analytical and problem-solving abilities. Strong communication and collaboration skills for remote work. Self-motivated and independent in driving tasks remotely. Education (Preferred) Bachelor’s degree in Computer Science, Engineering, or a related field.

Introduction: EkVayu Tech is a research focused company having products in the area of Cybersecurity/ AI/ML/DL, Signal Processing, System Engineering and Health-Tech. We are a products company and develop innovative solutions for the Defence sector. Currently, we are developing two products for the Indian Air Force under the iDEX DISC scheme of the Ministry of Defence through iDEX-DIO, having won the open challenge. Job Title: GIS Architect Location: Noida, Sector 62 Employment Type: Full time Department: IT Role Overview: We are seeking a skilled and proactive GIS Engineer to oversee the development and optimization of our GIS based visualisation and 3D/4D data display. The candidate has to collaborate with different team but own the data ingestion/ collating/readiness for visualisation in GIS engine. The ideal candidate will collaborate closely with development teams to enhance productivity, improve software delivery, and ensure robust, scalable infrastructure. Core Skills: Enterprise GIS Design : Ability to design and implement large-scale, multi-country, and cross-environment GIS solutions. GIS Platforms : Expertise in ESRI ArcGIS/ QGIS/Google Earth Engine/ OpenLayers. 3D & 4D Mapping : Skills in creating, managing, and visualizing 3D/4D models of air, sea, and ground environments. Spatial Data Analysis : Proficiency in geospatial analysis and spatial statistics. Vector Data Handling : Managing vector data formats like GeoJSON, Shapefiles, KML, and PostGIS-enabled databases. Temporal Data Visualization : Display of moving images with time-series data for air, sea, underwater, and ground tracking. Languages : Proficiency in Python, R (for spatial statistics), and SQL (for spatial databases). GIS Libraries : Experience with geospatial libraries like GDAL, Geopandas, Leaflet.js, D3.js (for data visualization), and CesiumJS (for 3D globe rendering). API Integration : Familiarity with integrating APIs (like Google Maps, Esri REST, or Mapbox) for data import, export, and visualization. Spatial Databases : Proficiency with PostGIS, Oracle Spatial, and SQL Server with spatial extensions. Data Flow Design : Designing workflows to ingest, clean, process, and visualize geospatial data in real-time. User-Centered Design : Designing intuitive interfaces for displaying vector, raster, and moving images. Job Types: Full-time, Permanent Pay: From ₹600,000.00 per year Benefits: Flexible schedule Experience: total work: 5 years (Required) Work Location: In person

Location: Offshore (Onsite Delivery Model) Number of Roles: 3 Experience: 5–8 years Start Date: Immediate or within 15 days Employment Type: Contract / Full-time (as applicable) Job Overview We are seeking highly skilled GIS Data Engineers with strong expertise in Python , PySpark , and geospatial data processing to support the integration and analysis of spatial datasets. The selected candidates will work on large-scale data engineering projects in a distributed environment, focusing on building pipelines and workflows that support geospatial analytics and visualization. Key Responsibilities Develop and maintain scalable ETL pipelines using PySpark and Python for processing GIS and spatial datasets Work with large geospatial datasets from various sources (e.g., shapefiles, GeoJSON, raster formats, satellite data) Integrate geospatial data with enterprise systems (e.g., PostgreSQL/PostGIS, Big Data platforms) Optimize queries and data transformations for performance and accuracy Collaborate with data scientists, GIS analysts, and business users to deliver data solutions Implement best practices for data quality, versioning, and lineage in spatial data pipelines Troubleshoot data issues and support production data workflows Required Skills Strong hands-on experience with PySpark (Apache Spark with Python) Advanced Python programming skills, especially in data handling and automation Experience with geospatial libraries such as GeoPandas, Shapely, Fiona, Rasterio, or GDAL Proficient in working with GIS formats (shapefiles, raster data, GeoTIFFs, KML, etc.) Knowledge of spatial databases like PostGIS or GeoServer Hands-on experience with data lakes, big data processing, and cloud platforms (Azure/AWS/GCP – preferred) Strong understanding of data structures, algorithms, and spatial indexing Nice To Have Familiarity with MapReduce, Hive, or Databricks Prior experience in geospatial analytics, remote sensing, or urban planning domains Knowledge of DevOps, CI/CD pipelines, and containerization tools (Docker, Kubernetes) Soft Skills Excellent communication and collaboration abilities Problem-solving mindset and attention to detail Ability to work independently in a client-facing onsite role Skills: postgis,rasterio,azure,gcp,shapely,fiona,big data platforms,pyspark,gis,geopandas,gdal,aws,python

As an Image Processing Scientist at KaleidEO, you will play a crucial role in the development of advanced image processing pipelines for satellite optical sensors. Your expertise in utilizing cutting-edge algorithms will drive real-time analysis, contributing to the future of Earth Observation and the global recognition of Indian space technology. Your responsibilities will include developing and optimizing algorithms for various image processing stages, such as radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification. You will design and implement efficient processing pipelines for satellite optical sensor data, incorporating techniques like deep learning, object detection, and spectral analysis to derive valuable insights from optical imagery. Collaborating with a multidisciplinary team, you will work on cloud-based solutions to handle large-scale satellite data processing tasks, ensuring automation, efficiency, and scalability. Your qualifications should include a Bachelors or Masters degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field. Additionally, you should have 2-3 years of industrial experience in satellite/drone image processing with a focus on optical sensor data. Essential skills for this role include proficiency in image processing and computer vision algorithms, along with strong programming abilities in Python using libraries like OpenCV and GDAL. A solid understanding of satellite optical sensors and their associated processing challenges is necessary. Experience with machine learning techniques for image analysis and familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS) are desirable qualities that can enhance your contributions to the team. At KaleidEO, we value our team members" well-being and personal growth. You will have access to benefits such as medical health cover for you and your family, maternity, paternity, marriage, and bereavement leave, participation in international events and conferences, mental health support, and dedicated allowances for learning and skill development. Additionally, you can expect a transparent appraisal process twice a year to recognize and reward your contributions. If you are ready to take on challenges and push the boundaries of image processing in the realm of Earth Observation, KaleidEO is the place for you. Join us in shaping the future of space technology and making a global impact.,