16 Geopandas Jobs

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.,

Job Title: Data Engineer Geospatial Development Location: Kochi (Remote) Job Type: Full Time Experience: 3+ years in Data Engineering with hands-on Geospatial Development Job Summary: We are seeking a highly skilled Data Engineer with experience in geospatial data processing and visualization. The ideal candidate will have strong Python skills along with experience in geospatial platforms like ESRI ArcGIS, QGIS, and Google Earth. You should be comfortable developing map-based interfaces and visualizations using libraries such as GeoPandas, Leafmap, Leaflet, Mapbox, and Folium. This role will also involve developing robust data pipelines, managing spatial data storage, and supporting analytics and insights on geospatial datasets. Key Responsibilities: • Design, implement, and optimize spatial and non-spatial data pipelines. • Develop interactive geospatial data visualizations and dashboards using modern Python libraries and mapping tools. • Work with tools like ESRI ArcGIS, QGIS, and Google Earth to process and analyze geospatial data. • Integrate various data sources into geospatial data models and visualization platforms. • Leverage Python (GeoPandas, Folium, Leaflet, Mapbox, Leafmap, etc.) for geospatial data transformation and analysis. • Manage large spatial datasets in cloud environments (preferably Azure or AWS). • Collaborate with data scientists and analysts to deliver geospatial insights. • Ensure data integrity, performance, and security in all pipeline operations. • Document technical solutions and develop reusable components and templates. Required Skills: • 3+ years of experience in Data Engineering and geospatial development. • Proficiency in Python with geospatial libraries (GeoPandas, Shapely, Leafmap, Folium, etc.). • Hands-on experience with ESRI ArcGIS, QGIS, Google Earth, or similar platforms. • Experience with web mapping tools and interfaces (Leaflet, Mapbox). • Strong skills in SQL and working with spatial databases (PostGIS, SQL Server with spatial extensions). • Solid understanding of coordinate systems, projections, and spatial analysis techniques. • Cloud experience with services such as Azure Blob Storage, Azure Data Factory, AWS S3, or Google Cloud Storage. Preferred Qualifications: • Familiarity with ETL workflows involving spatial data. • Experience with containerization tools (Docker) and CI/CD pipelines. • Exposure to Agile methodologies and collaborative team environments. • Knowledge of metadata standards and geospatial data governance practices. • Bachelors or Masters in Computer Science, GIS, Geomatics, or a related field.

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.,

GIS & Asset Inventory Lead Urban Flood Resilience Location: Gurgaon Work Mode: Hybrid Job Summary: We are seeking a highly skilled GIS & Asset Inventory Lead to spearhead a comprehensive geospatial assessment and mapping effort aimed at strengthening urban flood resilience. This role is central to building a robust, accurate, and actionable GIS-based inventory of storm-water infrastructure and related flood-risk data layers across the city. The ideal candidate will have deep expertise in geospatial data integration, urban hydrology, and modern GIS platforms, and will bring a strong understanding of how spatial data informs urban flood management, infrastructure planning, and emergency preparedness. You will be responsible for designing and leading a city-wide asset mapping program that captures drains, culverts, outfalls, pumps, detention basins, flap gates, encroachments, and other critical storm-water infrastructure Key Responsibilities: Leading a coordinated GIS-based mapping campaign across the city to capture storm-water and drainage infrastructure. Designing data collection templates and standardized schemas for multiple asset types such as drains, culverts, detention basins, pump stations, flap gates, outfalls, and encroachments. Overseeing the integration of diverse data sources including satellite imagery, LiDAR, digital elevation models (DEM), ground penetrating radar (GPR) records, and walkover/RTK field surveys. Creating and maintaining a high-quality, version-controlled geodatabase with rigorous QA/QC procedures and proper metadata standards. Developing thematic layers for flood-risk analysis such as impervious surface coverage, slope, infiltration potential, land use, and vulnerability indices. Setting up and maintaining a web-GIS system to serve interactive dashboards and support decision-making by engineers, planners, and emergency teams. Coordinating with municipal departments, survey agencies, and third-party consultants to ensure data consistency, spatial accuracy, and long-term maintainability of the asset inventory. Tools and Technologies Required: GIS Software: ArcGIS Pro, ArcGIS Online, QGIS Spatial Databases: PostGIS, File Geodatabases Programming/Scripting: Python (geopandas, rasterio, shapely, fiona, pandas) Field Survey Tools: GPS/RTK, Survey123, ArcGIS Collector, ODK/KoboToolbox Web-GIS Tools: GeoServer, ArcGIS Enterprise, Leaflet, Mapbox Other: Experience handling LiDAR/DEM data and managing spatial metadata Required Experience: 710 years of professional experience in GIS, with a strong focus on urban hydrology, flood risk mapping, or municipal infrastructure . Proven experience in leading large-scale, city-wide GIS projects , especially those involving drainage systems or urban asset management. Experience working with or for municipal governments, Smart Cities, AMRUT projects, or donor-funded urban infrastructure projects (e.g., World Bank, ADB, JICA) is highly desirable. How to Apply: Please share your resume on [HIDDEN TEXT] Show more Show less

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

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.

Analyze complex spatial and non-spatial datasets using advanced remote sensing tools and techniques.Discover patterns and trends within geospatial data to uncover valuable insights and inform strategic decisions.Produce high-quality digital maps. Required Candidate profile Proven proficiency in programming such as R and Python, with a strong on geospatial data analysis. Expertise in languages and platforms as Google Earth Engine (GEE), JavaScript, mapping languages.

You are a skilled Python Developer with hands-on experience in FastAPI and a strong foundation in cloud computing. Proficient in MongoDB and PostgreGIS for backend development and geospatial data handling, you will collaborate with cross-functional teams to build, optimize, and deploy scalable microservices. Your key responsibilities include developing high-performance backend services and RESTful APIs using FastAPI, integrating MongoDB and PostgreGIS for scalable database solutions and geospatial data storage, processing, and querying, collaborating with frontend developers, optimizing database queries, deploying applications on cloud platforms, ensuring API security and performance optimization, debugging and resolving backend issues, and documenting development processes. Stay updated with the latest Python, FastAPI, and cloud technologies. Required skills and qualifications include proficiency in Python with FastAPI experience, strong knowledge of MongoDB and PostgreGIS, familiarity with basic cloud computing services, experience in designing RESTful APIs, hands-on experience with Docker and Kubernetes (preferred), knowledge of CI/CD pipelines and Git, and a strong understanding of database optimization techniques. Preferred qualifications include experience with cloud platforms for microservices deployment, familiarity with NoSQL and SQL databases, knowledge of geospatial data processing libraries, experience with asynchronous programming, familiarity with monitoring tools, and understanding of microservices architecture and API Gateway management. Soft skills required are strong problem-solving skills, effective communication and collaboration, ability to adapt to an agile environment, and proactive approach to technical challenges. You should have at least 5 years of professional experience in backend development with Python & FastAPI and proven expertise in handling geospatial data and developing scalable applications. Join us to work on innovative projects with cutting-edge technologies, in a collaborative and supportive work environment with a focus on growth. Enjoy flexible work hours and a culture of creativity and innovation, along with competitive compensation and career advancement opportunities. This is a full-time position located in person.,

As a member of ClearTrail, you will be part of a team where work transcends beyond being just a job. Our mission is to create solutions that empower those committed to ensuring the safety of individuals, locations, and communities. With over 23 years of experience, law enforcement and federal agencies worldwide rely on ClearTrail as their dedicated partner in protecting nations and enhancing lives. We are at the forefront of shaping the future of intelligence gathering through the development of artificial intelligence and machine learning-based solutions for lawful interception and communication analytics. Our focus is on addressing the world's most complex challenges by leveraging cutting-edge technologies. Your primary responsibility will involve developing and training machine learning models that integrate drone, satellite, and real-time video data to achieve advanced visual comprehension. Key tasks include building ML/DL models for image and video classification, segmentation, and spatiotemporal analysis, as well as creating fusion methods to align and merge satellite, drone, and ground footage. You will be expected to apply various techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion, along with conducting model evaluation and optimization across diverse data sources. To excel in this role, you must possess strong Python programming skills and proficiency in data manipulation using libraries like NumPy, Pandas, and SciPy. Additionally, you should be well-versed in vision/model libraries such as MMDetection, Detectron2, and OpenCV, and have experience in deep learning frameworks like PyTorch and TensorFlow, particularly in video models like TimeSformer, SlowFast, I3D, and Yolo. Familiarity with satellite/drone geospatial fusion, GPS/IMU metadata, scene alignment, time series analysis, motion tracking, and optical flow techniques will be advantageous. Knowledge of remote sensing libraries like Rasterio, GDAL, GeoPandas, and xarray will also be beneficial for this role. Join us at ClearTrail and be part of a dynamic team dedicated to creating innovative solutions that make a real difference in the world of intelligence and security.,

You will be working offshore as part of an onsite delivery model, focusing on supporting the integration and analysis of spatial datasets through your expertise in Python, PySpark, and geospatial data processing. Your role will involve developing and maintaining scalable ETL pipelines, working with large geospatial datasets from various sources, integrating geospatial data with enterprise systems, and optimizing queries and data transformations for performance and accuracy. Additionally, you will collaborate with data scientists, GIS analysts, and business users to deliver data solutions, troubleshoot data issues, and support production data workflows. Your strong hands-on experience with PySpark, advanced Python programming skills, and familiarity with geospatial libraries such as GeoPandas, Shapely, Fiona, Rasterio, or GDAL will be crucial for this role. You should also have knowledge of spatial databases like PostGIS or GeoServer, experience with data lakes, big data processing, and cloud platforms (Azure/AWS/GCP preferred), and a solid understanding of data structures, algorithms, and spatial indexing. It would be beneficial to have familiarity with MapReduce, Hive, or Databricks, prior experience in geospatial analytics, remote sensing, or urban planning domains, and knowledge of DevOps, CI/CD pipelines, and containerization tools (Docker, Kubernetes). Strong soft skills such as excellent communication and collaboration abilities, a problem-solving mindset, attention to detail, and the ability to work independently in a client-facing onsite role will also be essential for success in this position.,

You are a Data Collection Specialist with expertise in LiDAR technology, Python programming, and hands-on field experience. Your main responsibility is to collect, process, and analyze geospatial data to ensure high-quality deliverables for various projects. This role involves technical fieldwork, data handling, and programming primarily in Python to facilitate accurate data capture and analysis. You will operate LiDAR equipment and sensors in the field for accurate geospatial data collection. Additionally, you will set up, test, and maintain equipment such as UAVs, LiDAR scanners, and GPS units to ensure proper operation for data collection tasks. Post-processing raw LiDAR data and integrating it into GIS systems is also part of your responsibilities, ensuring data integrity and accuracy. You will develop and utilize Python scripts to automate data processing tasks, enhance workflows, and perform data quality checks. Collaborating with teams of geospatial engineers, surveyors, and field technicians to collect data from multiple project sites is essential. You will prepare reports and maintain documentation for all data collection activities to ensure transparency and traceability. Monitoring the quality and completeness of data collected, troubleshooting any equipment or software issues in real-time, adhering to field safety protocols, and ensuring compliance with industry regulations and project guidelines are crucial aspects of the role. You should have a Bachelor's degree in Geospatial Science, Engineering, Surveying, or a related field, along with 2+ years of experience with LiDAR systems, data collection, and processing. Proficiency in Python programming for data processing and automation, experience in field technician duties, and familiarity with LiDAR data collection and post-processing software are required. Strong knowledge of Python and geospatial libraries, understanding of GIS systems and tools, and soft skills such as attention to detail, problem-solving, and excellent communication skills are essential for this role. LiDAR Technician Certification, Python Programming Certification, and UAV Pilot Certification are preferred but not required. This position involves frequent travel to project sites, including outdoor environments and various weather conditions. Fieldwork may require physical activity, including lifting and carrying technical equipment. You will receive a competitive salary and benefits package, opportunities for professional development and certification, and the chance to work on cutting-edge projects in geospatial data and technology.,

As a GIS Annotation Intern at our company, you will play a crucial role in supporting our geospatial data labeling and annotation efforts. This position is perfect for students or recent graduates in Geography, Environmental Science, Geomatics, Remote Sensing, Computer Science, or related fields who have a strong passion for spatial data and its significance in machine learning and decision-making processes. Your responsibilities will include annotating geospatial imagery such as satellite, aerial, and drone data using GIS tools while adhering to project guidelines. You will be tasked with digitizing polygons, points, and lines to identify and classify various features like roads, land use, vegetation, buildings, and more. Additionally, you will need to conduct quality checks, refine annotations based on feedback, and assist in the preparation and management of shapefiles, raster datasets, and metadata. Collaboration with GIS analysts, data scientists, and ML engineers will be essential to ensure annotation accuracy and consistency, along with documenting annotation procedures and workflows. To qualify for this role, you should be currently pursuing or have recently completed a degree in Geography, Geoinformatics, Remote Sensing, Environmental Science, or a related field. Basic experience with GIS software such as QGIS, Google Earth Pro, or similar tools is required, along with an understanding of spatial data types and coordinate systems. Your high attention to detail, ability to follow annotation protocols accurately, and strong communication and teamwork skills will be key assets in this position. Candidates with additional skills in geospatial data formats (GeoTIFF, Shapefile, GeoJSON, etc.), exposure to Python or scripting tools for GIS (e.g., GDAL, rasterio, geopandas), or an interest/experience in geospatial AI/ML or data labeling platforms will be given bonus points. By joining our team, you will gain hands-on experience in real-world GIS projects, receive mentorship from experienced GIS professionals and data scientists, and have the opportunity to contribute to impactful work in environmental monitoring, agriculture, urban planning, or AI model training. Upon successful completion, you will receive a certificate of completion and a recommendation based on your performance. If you are eager to be a part of our venture and meet the qualifications mentioned above, we encourage you to share your story with us by writing to careers@varahaag.com.,

As a Senior Back-End (Node.js) Engineer at Eartheye Space, you will have the opportunity to join a fast-paced organization with a focus on timely delivery of back-end application requirements for the Eartheye platform. Your role will involve close collaboration with front-end (Angular) as well as computer vision and machine learning engineers. Your expertise should encompass a proven track record of working on Node.js in multiple projects, proficiency in APIs, experience with GDAL, Rasterio, GeoPandas or similar tools, familiarity with AWS or equivalent cloud environments, and expertise in NoSQL databases like MongoDB. Additionally, you should have experience working on high-performance, scalable internet or enterprise applications within a containerized application environment. In terms of work experience, we expect you to have a minimum of five years of Node.js experience and proficiency in using GenAI. You should be comfortable working in a micro-release environment with frequent feature releases, possess problem-solving skills under tight timelines, and demonstrate a keen attention to detail. A research-driven, self-motivated approach with the ability to work both independently and collaboratively in an agile setting with excellent communication skills in English is essential. To qualify for this role, you should hold a Bachelor's or Master's degree in computer science or equivalent. In return, we offer a competitive salary and stock awards. Joining the Eartheye Space team presents exciting opportunities to engage with cutting-edge Earth observation technologies and datasets in a cloud environment, paving the way for career growth in a rapidly expanding company. The potential for early-stage equity and stock options to grow in value, along with global mobility opportunities as the company expands internationally, makes this a compelling journey to be a part of. If you are seeking to contribute to a high-performing company focused on delighted customers, high-performing teams, innovative products, and stellar results, Eartheye Space offers a dynamic environment where your skills and expertise can make a significant impact.,

You will be working at ClearTrail, where the focus is on developing solutions to empower organizations dedicated to ensuring the safety of their people, places, and communities. With over 23 years of experience, ClearTrail has been a trusted partner for law enforcement and federal agencies worldwide in safeguarding nations and enriching lives. As part of the team, you will contribute to the future of intelligence gathering by creating artificial intelligence and machine learning-based lawful interception and communication analytics solutions to address some of the world's most challenging problems. Your role will involve developing and training machine learning models that leverage drone, satellite, and real-time video data for complex visual understanding tasks. You should have a minimum of 10-12 years of relevant experience for this position. Key responsibilities of the role include: - Building machine learning and deep learning models for image and video classification, segmentation, and spatiotemporal analysis. - Developing fusion methods to align and combine data from satellite, drone, and ground footage. - Applying advanced techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion. - Conducting model evaluation and optimization across various data sources. Essential skills for this role include: - Strong proficiency in Python coding and data manipulation using libraries such as NumPy, Pandas, and SciPy. - Expertise in vision/model libraries like MMDetection, Detectron2, and OpenCV. - Deep learning experience with PyTorch, TensorFlow, and video models such as TimeSformer, SlowFast, I3D, and Yolo. - Knowledge of satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. - Familiarity with time series analysis, motion tracking, and optical flow using tools like RAFT and FlowNet. - Understanding of remote sensing libraries such as Rasterio, GDAL, GeoPandas, and xarray. If you are passionate about leveraging machine learning and artificial intelligence to address complex challenges in intelligence gathering, this role at ClearTrail offers an exciting opportunity to make a meaningful impact.,

You will be responsible for developing and training machine learning models that leverage drone, satellite, and real-time video data to tackle complex visual understanding tasks. Your primary focus will be on building ML/DL models for image and video classification, segmentation, and spatiotemporal analysis. Additionally, you will be tasked with developing fusion methods that align and merge data from satellite, drone, and ground footage sources. To excel in this role, you must have a minimum of 10-12 years of relevant experience. You should possess strong Python coding skills along with expertise in data manipulation using libraries such as NumPy, Pandas, and SciPy. Proficiency in vision/model libraries such as MMDetection, Detectron2, and OpenCV is essential. Moreover, you must have hands-on experience in deep learning frameworks like PyTorch and TensorFlow, particularly in developing video models with TimeSformer, SlowFast, I3D, Yolo, among others. Your expertise should extend to satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. Familiarity with time series analysis, motion tracking, and optical flow techniques (e.g., RAFT, FlowNet) is beneficial. In addition, knowledge of remote sensing libraries like Rasterio, GDAL, GeoPandas, and xarray will be advantageous for this role. Your responsibilities will also include model evaluation and optimization across various data sources, ensuring the delivery of high-quality solutions that contribute to the future of intelligence gathering.,

Experience: 58 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