31 Gdal Jobs

You will take ownership of full product features by designing, developing, testing, and deploying them across backend and frontend interfaces. Collaborating with product managers and designers, you will understand requirements and translate them into scalable solutions. Your responsibilities will include writing clean, maintainable, and high-performance code using Python (Django/FastAPI) or Java (Spring Boot). Designing and implementing RESTful APIs, as well as integrating with third-party APIs and tools, will be a key part of your role. Additionally, you will build reusable frontend components using modern frameworks and libraries, optimizing performance for web and mobile platforms, including GIS-heavy map interfaces. In this position, you will also be expected to conduct code reviews, troubleshoot issues, and mentor junior developers when necessary. Monitoring production systems, identifying performance bottlenecks, and deploying fixes proactively will be crucial aspects of your work. Furthermore, you will have the opportunity to contribute to architectural decisions and help shape engineering best practices across the team. Requirements: - Graduated in 2020 or earlier. - 4+ years of industry experience (excluding career breaks). - Proficiency in Python or Java is a must. - Strong understanding of full-stack development, including backend systems, APIs, and frontend interfaces. - Ability to join within 30 days from offer. Preferred Tech Stack & Tools: - Cloud & Messaging: Google Cloud Platform (GCP), Pub/Sub - Database: PostgreSQL / PostGIS, Redis - Frameworks: Django, FastAPI, Spring Boot - GIS Tools: GDAL, GeoServer - Frontend (nice to have): JavaScript, React or similar - Others: RESTful APIs, CI/CD, Docker, Git, Agile workflows Please note that this Job Description is referenced from hirist.tech.,

Roles & Responsibilities Take ownership of full product featuresdesign, develop, test, and deploy them across backend and frontend interfaces. Collaborate with product managers and designers to understand requirements and translate them into scalable solutions. Write clean, maintainable, and high-performance code using Python (Django/FastAPI) or Java (Spring Boot). Design and implement RESTful APIs and integrate with third-party APIs and tools. Build reusable frontend components using modern frameworks and libraries. Optimize performance for web and mobile platforms, including GIS-heavy map interfaces. Conduct code reviews, troubleshoot issues, and mentor junior developers as needed. Monitor production systems, identify performance bottlenecks, and deploy fixes proactively. Contribute to architectural decisions and help shape engineering best practices across the team. Requirements Graduated in 2020 or earlier. 4+ years of industry experience (excluding career breaks). Proficiency in Python or Java is a must. Strong understanding of full-stack development, including backend systems, APIs, and frontend interfaces. Must be able to join within 30 days from offer. Preferred Tech Stack & Tools Cloud & Messaging : Google Cloud Platform (GCP), Pub/Sub Database : PostgreSQL / PostGIS, Redis Frameworks : Django, FastAPI, Spring Boot GIS Tools : GDAL, GeoServer Frontend (nice to have) : JavaScript, React or similar Others : RESTful APIs, CI/CD, Docker, Git, Agile workflows (ref:hirist.tech)

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.,

Join our satellite team as a Data Engineer responsible for building and maintaining the entire data flow, transformation, storage, processing, and archival infrastructure for satellite telemetry (TM) and payload (PL) data. You'll play a critical role in developing robust backend engines to support payload analytics, mission operations and antenna tracking algorithms. Key Responsibilities Satellite Data Analysis: Orbit Estimation & Pass Prediction Payload Data Processing Data Warehouse & Timeseries Management Architect and manage a unified satellite data warehouse for: TM: Telemetry TC: Telecommand logs PL Raw: Unprocessed payload data PL Processed: Analytics-ready, localized payload results Implement and optimize timeseries storage (e.g., TimescaleDB or equivalent open-source DB), handling high-volume ingest, retention policies, and storage cost controls Setup long-term backup and restore logic for all critical datasets with tested disaster-recovery procedures Data Integration Pipelines Collaborate with the engineering team to design and develop custom plugins for encoding, decoding and storing satellite data Data Governance, Security & Compliance Implement and monitor robust data validation, quality checks, and schema evolution for all ingested datasets Establish strict data retention schedules, historical playback mechanisms, and backup strategies Ensure data security: manage encryption in transit and at rest, control access privileges, and maintain audit trails Analytics Enablement & Reporting Expose clean, queryable interfaces for satellite operations teams, mission planners, and analytics applications Enable fast asset search, forecast generation, and bulk historical downloads (e.g., CSV) Support the payload UI frontend with reliable and performant data APIs Automation & Monitoring Develop high-availability ETL and data transformation services for raw and processed data Set up proactive monitoring, alerting, and logging for data pipeline health and storage usage Continuously improve system performance, scalability, and resilience to failures Documentation & Collaboration Maintain comprehensive technical documentation of data models, pipelines, and operational guidelines Work cross-functionally with software engineers, satellite operations, and payload teams Requirements MCA/B.E./B.Tech/M.Tech in Computer Science, Aerospace/Electronics Engineering, Data Science, or relevant field Programming: Python and/or Java; advanced SQL; experience with at least one time-series or analytical DBMS (e.g., TimescaleDB, InfluxDB, PostgreSQL, MongoDB) ETL/Data Pipelines: Experience with building and managing real-time and batch ETL/ELT workflows for large data volumes Orbit Determination (preferred): Proven experience with satellite dynamics, SGP4/TLE models, or astrodynamics libraries (e.g., Orekit, GMAT) is a strong plus Geospatial/Localization (preferred): Familiar with georeferencing payload data, GIS libraries (e.g., GDAL, GeoPandas), and map projections DevOps: Comfortable with Docker, Linux-based deployments, systemd services, and automated backup/cron Data Security: Implementing encryption, secure protocols (TLS/HTTPS), secure file systems, and user access controls Testing & Monitoring: Experience with test-driven development, continuous data validation, and pipeline monitoring tools Strong data analytics, problem-solving, and system optimization skills Ability to distill and document complex workflows Able to work independently and proactively in a mission-critical environment Familiarity with satellite data analysis and GIS is a plus Experience with processing/backup/restore of large data volumes, long-term archival Kubernetes or container orchestration experience Familiarity with object storage solutions Benefits We offer great career growth, ESOPs, Gratuity, PF and Health Insurance.

Location: Remote / Hybrid Experience: 2–6 years (or strong project/internship experience) Employment Type: Full-Time Department: AI & Software Systems Key Responsibilities Design and maintain end-to-end MLOps pipelines: from data ingestion to model deployment and monitoring. Containerize ML models and services using Docker for scalable deployment. Develop and deploy APIs using FastAPI to serve real-time inference for object detection, segmentation, and mapping tasks. Automate workflows using CI/CD tools like GitHub Actions or Jenkins. Manage cloud infrastructure on AWS: EC2, S3, Lambda, SageMaker, CloudWatch, etc. Collaborate with AI and GIS teams to integrate ML outputs into mapping dashboards. Implement model versioning using DVC/Git, and maintain structured experiment tracking using MLflow or Weights & Biases. Ensure secure, scalable, and cost-efficient model hosting and API access. Required Skills Programming: Python (must), Bash/Shell scripting ML Frameworks: PyTorch, TensorFlow, OpenCV MLOps Tools: MLflow, DVC, GitHub Actions, Docker (must), Kubernetes (preferred) Cloud Platforms: AWS (EC2, S3, SageMaker, IAM, Lambda) API Development: FastAPI (must), Flask (optional) Data Handling: NumPy, Pandas, GDAL, Rasterio Monitoring: Prometheus, Grafana, AWS CloudWatch Preferred Experience Hands-on with AI/ML models for image segmentation, object detection (YOLOv8, U-Net, Mask R-CNN). Experience with geospatial datasets (satellite imagery, drone footage, LiDAR). Familiarity with PostGIS, QGIS, or spatial database management. Exposure to DevOps principles and container orchestration (Kubernetes/EKS). Soft Skills Problem-solving mindset with a system design approach. Clear communication across AI, software, and domain teams. Ownership of the full AI deployment lifecycle. Education Bachelor’s or Master’s in Computer Science, Data Science, AI, or equivalent. Certifications in AWS, MLOps, or Docker/Kubernetes (bonus).

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

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.,

📌 Job Title: Drone Data Processing & GIS Expert (Ortho, LiDAR & DGPS) 📍 Location: Gurgaon, Haryana (On-site) 🏢 Company: DATAPKT Private Limited 📅 Immediate Hiring | Full-Time Role Overview: DATAPKT is looking for a skilled Drone Data Processing & GIS Expert with hands-on experience in orthophoto generation , LiDAR point cloud processing , and DGPS-based survey integration . The ideal candidate will be part of our core technical team delivering high-accuracy maps and geospatial insights for infrastructure projects. Key Responsibilities: Process drone survey data into Orthomosaics , DSM , DTM , Contours , and 3D Models Handle LiDAR data classification , point cloud cleaning, and feature extraction Integrate DGPS data for geo-rectification, GCP validation, and high-accuracy mapping Manage coordinate systems, projections, and georeferencing workflows Utilize software such as Pix4D , Agisoft Metashape , CloudCompare , LiDAR360 , Global Mapper , QGIS/ArcGIS Generate and style shapefiles, KMLs, and geospatial reports for client delivery Perform QA/QC on processed datasets and maintain data documentation Coordinate with field survey teams for GCP planning and DGPS data accuracy checks Required Skills & Experience: 2–5 years of experience in drone/GIS data processing Proficient in Ortho generation , LiDAR post-processing , and DGPS data handling Experience working with RTK/PPK data , GCPs , and coordinate transformation Knowledge of photogrammetry , spatial accuracy , and topographic workflows Familiarity with ArcGIS / QGIS for data visualization and mapping Strong analytical and quality-checking mindset Preferred Qualifications: Degree/Diploma in Remote Sensing , Geomatics , Geoinformatics , or Civil Engineering Exposure to infrastructure, land use, or topographic mapping projects Experience using Total Station / DGPS survey equipment is a plus Basic Python/GDAL scripting skills will be an added advantage Why Join DATAPKT? Work on large-scale infrastructure and monitoring projects Be at the intersection of AI, GIS, and drone-based automation Fast-paced, hands-on team with strong career growth opportunities 📩 Apply Now: hr@datapkt.com 🌐 Website: www.datapkt.com 🔗 LinkedIn: @datapkt

What We Do At ClearTrail, work is more than just a job. Our calling is to develop solutions that empower those dedicated to keep their people, places and communities safe. For over 23 years, law enforcement & federal agencies across the globe have trusted ClearTrail as their committed partner in safeguarding nations & enriching lives. Summary We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning based lawful interception & communication analytics solutions that solve the worlds most challenging Summary : Develop and train machine learning models that combine drone, satellite, and real-time video data for complex visual understanding Required : 10 - 12 and responsibilities : Build ML/DL models for image and video classification, segmentation, and spatiotemporal analysis. Develop fusion methods that align and combine satellite, drone, and ground footage. Apply techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion. Perform model evaluation and optimization across multiple data sources. Skills Must Have Strong Python coding and data manipulation skills (e.g., NumPy, Pandas, SciPy). Proficient with vision/model libraries : MMDetection, Detectron2, OpenCV. Deep learning with PyTorch, TensorFlow, video models with TimeSformer, SlowFast, I3D, Yolo etc. Experience with satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. Familiarity with time series, motion tracking, or optical flow (e.g., RAFT, FlowNet). Knowledge of remote sensing libraries: Rasterio, GDAL, GeoPandas, xarray. (ref:hirist.tech)

What We Do- At ClearTrail, work is more than ‘just a job’. Our calling is to develop solutions that empower those dedicated to keep their people, places and communities safe. For over 23 years, law enforcement & federal agencies across the globe have trusted ClearTrail as their committed partner in safeguarding nations & enriching lives. We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning based lawful interception & communication analytics solutions that solve the world’s most challenging problems. Role Summary: Develop and train machine learning models that combine drone, satellite, and real-time video data for complex visual understanding tasks. Experience Required: 10-12 years Roles and responsibilities : Build ML/DL models for image and video classification, segmentation, and spatiotemporal analysis. Develop fusion methods that align and combine satellite, drone, and ground footage. Apply techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion. Perform model evaluation and optimization across multiple data sources. Skills Must Have: Strong Python coding and data manipulation skills (e.g., NumPy, Pandas, SciPy) Proficient with vision/model libraries: MMDetection, Detectron2, OpenCV Deep learning with PyTorch, TensorFlow, video models with TimeSformer, SlowFast, I3D, Yolo etc. Experience with satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment Familiarity with time series, motion tracking, or optical flow (e.g., RAFT, FlowNet) Knowledge of remote sensing libraries: Rasterio, GDAL, GeoPandas, xarray

Job Title: Lead AI/ML Engineer / Data Scientist (GIS & Image Processing) Location: Pune Experience: 4+ Years Employment Type: Full-Time Highly motivated and experienced Lead AI/ML Engineer or Data Scientist with deep expertise in GIS and/or Image Processing to architect and drive our AI initiatives. You will lead a team of engineers and data scientists, define technical direction, and deliver scalable, production-grade solutions for image and geospatial intelligence applications. Key Responsibilities: Lead the design, development, and deployment of AI/ML models for image and geospatial data processing. Architect end-to-end pipelines, from data ingestion and preprocessing to model deployment and monitoring. Work hands-on with geospatial datasets (satellite imagery, drone data, maps) and apply advanced image processing and computer vision techniques. Guide and mentor a team of junior and mid-level engineers/data scientists. Collaborate with product managers, domain experts, and stakeholders to align technical solutions with business goals. Review and improve model performance, scalability, and robustness through continuous evaluation and tuning. Ensure best practices in coding, model management, MLOps, and documentation. Stay up to date with the latest trends in AI, GIS, and image analytics, and bring innovative ideas into the team. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Geoinformatics or related fields. PhD is a plus. 6+ years of experience in AI/ML or Data Science roles with a strong focus on image processing or GIS. Proficient in Python, ML/DL frameworks (TensorFlow, PyTorch), and image processing libraries (OpenCV, scikit-image, PIL). Hands-on experience with geospatial tools and libraries (QGIS, GDAL, Geopandas, ArcGIS, rasterio). Proven track record in leading AI/ML projects and delivering production-grade systems. Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes). Strong understanding of geospatial data formats, coordinate systems, and remote sensing concepts. Preferred Skills : Experience with deep learning models for segmentation (e.g., UNet, Mask R-CNN) or object detection (YOLO, Faster R-CNN). Knowledge of satellite/drone data sources and preprocessing workflows. Familiarity with MLOps practices and tools like MLflow, Airflow, or Kubeflow. Exposure to data privacy, ethical AI, and regulatory compliance in geospatial applications. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,400,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Experience: AI/ML: 6 years (Preferred) Work Location: In person

SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based for 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. 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. 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. Requirements Graduated in 2020 or before. 4+ YOE in the industry, excluding any career breaks. Python or Java proficiency is a MUST. Should be able to join in 30 days once the offer letter is released. Tech Stack - GCP, Pub/Sub, Postgres/PostGIS, Redis, Django/FastAPI/Spring Boot, GDAL, Geoserver, etc. This job was posted by Ankit Lohani from SiteRecon.

DATA ENGINEER Who We Are? Cleantech Industry Resources accelerates United States solar, battery storage and EV projects by providing turnkey development as a service including 100% internal systems engineering. The company deploys a leading team that spun out of the largest solar power producer in the world. This team operates within a sophisticated suite of software to support projects from land origination, through to commercial operation. Location Chennai What We Offer Opportunity to join a top-notch, collaborative team of professionals Fantastic team environment and collaborative culture Professional development opportunities to grow into an industry leader Medical Insurance for the employee and family Spot Recognition bonus for exceptional performance Long Term Incentive policy Regular team outings, events, and activities to foster a positive work environment Our Commitment to Diversity At CIR, we are dedicated to nurturing a diverse and equitable workforce that truly reflects our community. We deeply value each person’s unique perspective, skills, and experiences. CIR embraces all individuals, regardless of race, religion, sexual orientation, gender identity, age, or nationality. We are steadfast in our commitment to fostering a just and inclusive world through intentional policies and actions. Your individuality enriches our collective strength, and we strive to ensure everyone feels respected, valued, and empowered. Position Summary As a Data Engineer, you would be required to take ownership of data infrastructure, pipeline development, and data curation for regulatory, zoning, renewable energy, and geospatial data applications. This role involves handling large-scale datasets related to zoning laws, permitting, environmental regulations, and spatial data, ensuring data quality, and enabling seamless integration with AI/ML models. The ideal candidate will be responsible for designing end-to-end data pipelines, supporting data-driven decision-making, and building and leading a data engineering team as they scale their operations. Core Responsibilities Data Engineering & Pipeline Development: Design and develop ETL pipelines to collect, clean, and transform regulatory and geospatial datasets. Build data ingestion pipelines for integrating zoning laws, permitting data, renewable energy regulations, GIS data, and environmental impact assessments. Work with PostGIS, PostgreSQL, and cloud-based storage solutions to manage structured and unstructured data. Develop automated data workflows to support AI/ML applications and real-time analytics. Ensure scalability, security, and performance of data architecture to handle large and diverse datasets. Data Curation & Quality Assurance: Collect and preprocess zoning regulations, permitting documents, renewable energy policies, environmental impact assessments, and spatial data for AI applications. Implement data validation techniques to ensure accuracy and consistency. Maintain metadata, lineage tracking, and documentation for all datasets. Optimize regulatory and geospatial data storage, indexing, and querying for real-time performance. Collaboration & Leadership: Work closely with AI/ML Engineers to align data structures with machine learning models. Collaborate with stakeholders to define data needs, storage strategies, and reporting workflows. Take the lead in hiring, training, and managing a data engineering team to scale operations effectively. Stay updated with emerging data engineering best practices and implement innovative solutions. Education Requirements Master’s or Ph.D. in Computer Science, Data Engineering, GIS, or related fields. Technical Skills and Experience Software Proficiency: Programming: Python (Pandas, NumPy, SQLAlchemy), SQL. Database & Storage: PostgreSQL, PostGIS, NoSQL, Cloud Data Warehouses (BigQuery, Snowflake, Redshift). Data Processing: Apache Airflow, Apache Spark, ETL frameworks, data lakes. Regulatory & GIS Data Management: Experience with QGIS, GDAL, GeoPandas, Google Earth Engine, and handling zoning/permitting datasets. Cloud & Infrastructure: AWS/GCP/Azure (S3, RDS, Lambda, EC2), Docker, Kubernetes. Big Data Processing: Experience with distributed computing, real-time data streaming, and indexing techniques. Communication: Strong ability to translate complex data requirements into business value. Project Management: Design experience in projects from conception to implementation. Ability to coordinate with other engineers and stakeholders. Renewable Energy Systems: Understanding of solar energy systems and their integration into existing infrastructure Experience 2-4 years of experience Experience with automating regulatory data processing and AI-driven decision support systems. Strong understanding of vector databases, spatial indexing, and knowledge graphs. Hands-on experience building data architectures supporting ML/AI applications. Psychosocial Skills /Human Skills/Behavioural Skills Strong analytical, organizational, and problem-solving skills. Management experience a plus. Must be a go-getter with an enterprising attitude A self-starter, able to demonstrate high levels of initiative and motivation Entrepreneurial mindset with the ability to take ideas and run with them from concept to conclusion. Technical understanding of clean energy business processes Exceptional verbal and writing communication skills with superiors, peers, partners, and other stakeholders. Excellent interpersonal skills while managing multiple priorities in a fast-paced and ever-changing environment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The physical demands of this job require an individual to be able to work at a computer for most of the day, be able to participate in conference calls and travel to team retreats on a time-to-time basis. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Conditions The work environment is usually quiet (normal city traffic noises are common), a blend of artificial and natural light, temperate and generally supports a collaborative work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer At Cleantech Industry Resources, we embrace diversity and uphold a strong dedication to establishing an all-encompassing atmosphere for both our staff and associates. Our choices in employment are free from any bias related to race, creed, nationality, ethnicity, gender, sexual orientation, gender identity, gender expression, age, physical limitations, veteran status, or any other legally safeguarded attributes. Being an integral part of Cleantech Industry Resources means you can expect to be immersed in a realm of professional possibilities within a culture that nurtures teamwork, adaptability, and the embracing of all.

AI/ML ENGINEER Who We Are? Cleantech Industry Resources accelerates United States solar, battery storage and EV projects by providing turnkey development as a service including 100% internal systems engineering. The company deploys a leading team that spun out of the largest solar power producer in the world. This team operates within a sophisticated suite of software to support projects from land origination, through to commercial operation. Location Chennai What We Offer Opportunity to join a top-notch, collaborative team of professionals Fantastic team environment and collaborative culture Professional development opportunities to grow into an industry leader Medical Insurance for the employee and family Spot Recognition bonus for exceptional performance Long Term Incentive policy Regular team outings, events, and activities to foster a positive work environment Our Commitment to Diversity At CIR, we are dedicated to nurturing a diverse and equitable workforce that truly reflects our community. We deeply value each person’s unique perspective, skills, and experiences. CIR embraces all individuals, regardless of race, religion, sexual orientation, gender identity, age, or nationality. We are steadfast in our commitment to fostering a just and inclusive world through intentional policies and actions. Your individuality enriches our collective strength, and we strive to ensure everyone feels respected, valued, and empowered. Position Summary We are looking for an AI/ML Engineer to build and optimize machine learning models for GIS-based spatial analysis and data-driven decision-making. This role involves working on geospatial AI models, data pipelines, and Retrieval-Augmented Generation (RAG)-based applications for zoning, county sentiment analysis, and regulatory insights. The engineer will also work closely with the data team, leading efforts in data curation and building robust data pipelines to collect, preprocess, and analyse extensive datasets from various geospatial and regulatory sources to generate automated reports and insights. Core Responsibilities Machine Learning for GIS & Spatial Analysis: Develop and deploy ML models for geospatial data processing, forecasting, and automated GIS insights. Work with large-scale geospatial datasets (e.g., satellite imagery, shapefiles, raster/vector data). Create AI models for land classification, feature detection, and geospatial pattern analysis. Optimize spatial data pipelines and build predictive models for environmental and energy sector applications. Retrieval-Augmented Generation (RAG) & NLP Development: Develop RAG-based AI applications to extract insights from zoning, permitting, and regulatory documents. Build LLM-based applications for zoning law interpretation, county sentiment analysis, and compliance predictions. Implement document retrieval and summarization techniques for legal, policy, and energy development reports. Data Engineering & Pipeline Development: Lead the creation of ETL pipelines to collect and preprocess geospatial data for ML model training. Work with PostGIS, PostgreSQL, and cloud storage to manage structured and unstructured data. Collaborate with the data team to design and implement efficient data processing and storage solutions. AI Model Optimization & Deployment: Fine-tune LLMs for domain-specific applications in renewable energy and urban planning. Deploy AI models using cloud-based MLOps frameworks (AWS, GCP, Azure). Optimize ML model inference for real-time GIS applications and geospatial data analysis. Collaboration & Continuous Improvement: Work with cross-functional teams to ensure seamless AI integration with existing business processes. Engage in knowledge sharing and mentoring within the company. Stay updated with latest advancements in AI, GIS, and NLP to improve existing models and solutions. Education Requirements Master’s in Computer Science, Data Science, Machine Learning, Geostatistics, or related fields. Technical Skills and Experience Software Proficiency: Programming: Python (TensorFlow, PyTorch, scikit-learn, pandas, NumPy), SQL. Machine Learning & AI: Deep learning, NLP, retrieval-based AI, geospatial AI, predictive modeling. GIS & Spatial Data Processing: Experience with PostGIS, GDAL, GeoPandas, QGIS, Google Earth Engine. LLM & RAG Development: Experience in fine-tuning LLMs, retrieval models, vector databases (FAISS, Weaviate). Cloud & MLOps: AWS/GCP/Azure, Docker, Kubernetes, MLflow, FastAPI. Big Data Processing: Experience with large-scale data mining, data annotation, and knowledge graph techniques. Database & Storage: PostgreSQL, NoSQL, vector databases, cloud storage solutions. Communication: Strong ability to explain complex AI/ML concepts to non-technical stakeholders. Project Management: Design experience in projects from conception to implementation. Ability to coordinate with other engineers and stakeholders. Renewable Energy Systems: Understanding of solar energy systems and their integration into existing infrastructure Experience 2-4 years of experience Experience in developing AI for energy sector, urban planning, or environmental analysis. Strong understanding of potential prediction, zoning laws, and regulatory compliance AI applications. Familiarity with spatiotemporal ML models and satellite-based geospatial analytics. Psychosocial Skills /Human Skills/Behavioural Skills Strong analytical, organizational, and problem-solving skills. Management experience a plus. Must be a go-getter with an enterprising attitude A self-starter, able to demonstrate high levels of initiative and motivation Entrepreneurial mindset with the ability to take ideas and run with them from concept to conclusion. Technical understanding of clean energy business processes Exceptional verbal and writing communication skills with superiors, peers, partners, and other stakeholders. Excellent interpersonal skills while managing multiple priorities in a fast-paced and ever-changing environment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The physical demands of this job require an individual to be able to work at a computer for most of the day, be able to participate in conference calls and travel to team retreats on a time-to-time basis. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Conditions The work environment is usually quiet (normal city traffic noises are common), a blend of artificial and natural light, temperate and generally supports a collaborative work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer At Cleantech Industry Resources, we embrace diversity and uphold a strong dedication to establishing an all-encompassing atmosphere for both our staff and associates. Our choices in employment are free from any bias related to race, creed, nationality, ethnicity, gender, sexual orientation, gender identity, gender expression, age, physical limitations, veteran status, or any other legally safeguarded attributes. Being an integral part of Cleantech Industry Resources means you can expect to be immersed in a realm of professional possibilities within a culture that nurtures teamwork, adaptability, and the embracing of all.

Job Summary We are seeking a highly experienced GeoSpatial Developer with 15 to 17 years of experience in Java and API development. The ideal candidate will work in a hybrid model during day shifts and will not require travel. This role involves developing and maintaining geospatial applications that drive our companys mission to deliver innovative solutions to our clients. Responsibilities Develop and maintain geospatial applications using Java and related technologies Design and implement APIs to integrate geospatial data with other systems Collaborate with cross-functional teams to gather and analyze requirements Provide technical expertise in geospatial data processing and analysis Ensure the performance quality and responsiveness of applications Troubleshoot and resolve complex technical issues in a timely manner Conduct code reviews to ensure adherence to best practices and coding standards Stay updated with the latest industry trends and technologies in geospatial development Mentor and guide junior developers in the team Create and maintain technical documentation for developed applications Optimize application performance and scalability Participate in agile development processes including sprint planning and retrospectives Contribute to the continuous improvement of development processes and methodologies Qualifications Extensive experience in Java programming and API development Strong knowledge of geospatial data processing and analysis techniques Proficiency in using geospatial tools and libraries such as GDAL GeoTools or similar Experience with relational and non-relational databases Familiarity with cloud platforms and services for geospatial applications Excellent problem-solving and analytical skills Strong communication and collaboration abilities Ability to work independently and as part of a team Knowledge of agile development methodologies Experience with version control systems such as Git Understanding of software development lifecycle and best practices Ability to mentor and guide junior team members Commitment to continuous learning and improvement. Certifications Required Certified Java Developer Certified Geospatial Information Systems Professional

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

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) #LI-Hybrid #LI-PK1 The Company 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.

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) #LI-Hybrid #LI-PK1 The Company 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.

Job Description GalaxEye Space, is a deep-tech Space start-up spun off from IIT-Madras and is currently based in Bengaluru, Karnataka. We are dedicated to advancing the frontiers of space exploration. Our mission is to develop cutting-edge solutions that address the challenges of the modern space industry by specialising in developing a constellation of miniaturised, multi-sensor SAR+EO satellites. Our new age technology enables all-time, all-weather imaging, this with leveraging advanced processing and AI capabilities, we ensure near real-time data delivery and are glad to highlight that we have successfully demonstrated these imaging capabilities, the first of its kind in the world, across various platforms such as Drones as well as HAPS (High-Altitude Pseudo Satellites). Responsibilities Lead and preprocess multi-temporal EO SAR imagery; run the packaged change-detection application on real client datasets Interpret algorithm outputs (change masks, confidence scores);generate value-oriented deliverables such as annotated maps, dashboards, and case-study reports Document edge cases, false positives/negatives, and usability pain points; propose workflow or UI enhancements for future sprints Assist the Software engineers in tuning configuration parameters and validating metric improvements against QC baselines Capture domain-specific requirements from client stakeholders and translate them into structured tickets or product-feature briefs Provide training sessions and quick-reference guides for end-users Requirements 2-3 yrs hands-on with remote-sensing analytics Basic understanding of working and Analysing Geospatial datasets Proficiency in QGIS/ArcGIS, GDAL/Rasterio Ability to communicate technical findings to non-technical stakeholders through compelling visuals and concise narratives Basic familiarity with YAML/JSON configs, Git, and CLI toolchains to support iterative testing Extremely good with documentation and presentation in a disciplined manner Additional Skillset Experience with optical + SAR data fusion, time-series analysis, or machine-learning model evaluation Exposure to React-based front ends or UX feedback loops for geospatial applications Benefits Acquire valuable opportunities for learning and development through close collaboration with the founding team. Contribute to impactful projects and initiatives that drive meaningful change. We provide a competitive salary package that aligns with your expertise and experience. Enjoy comprehensive health benefits, including medical, dental, and vision coverage, ensuring the well-being of you and your family. Work in a dynamic and innovative environment alongside a dedicated and passionate team. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description GalaxEye Space, is a deep-tech Space start-up spun off from IIT-Madras and is currently based in Bengaluru, Karnataka. We are dedicated to advancing the frontiers of space exploration. Our mission is to develop cutting-edge solutions that address the challenges of the modern space industry by specialising in developing a constellation of miniaturised, multi-sensor SAR+EO satellites. Our new age technology enables all-time, all-weather imaging, this with leveraging advanced processing and AI capabilities, we ensure near real-time data delivery and are glad to highlight that we have successfully demonstrated these imaging capabilities, the first of its kind in the world, across various platforms such as Drones as well as HAPS (High-Altitude Pseudo Satellites). Responsibilities Collaborate with the Bangalore team to accelerate the development of the product Install, configure, and execute packaged Python + React applications on an air-gapped system, isolated from the network Run automated & manual QC/benchmark suites on geospatial datasets, compare against target metrics, and document results Diagnose failures / performance gaps; tweak YAML/JSON configuration parameters, model checkpoints, and resource settings to hit accuracy & latency targets Generate concise diffs / patch files and reproducible reports for the backend team; participate in rapid iteration cycles Automate local environment set-up via scripts (e.g., PowerShell, Bash, Ansible) and maintain a minimal local PyPI / npm cache Pair with the Geospatial Analyst to validate outputs and capture edge- case feedback from real client data Requirements 2-3 yrs building and debugging full-stack apps (Python 3, FastAPI/Flask, React, Electron, Node) Solid grasp of packaging & deployment: PyInstaller/Briefcase, npm scripts, semantic versioning, checksum-based release manifests Comfort with offline dependency management (wheelhouses, npm offline cache) and Git-based change control Strong test mindset: pytest, Playwright, snapshot testing, CI pipelines (GitHub Actions, GitLab CI, or similar) Additional Skillset Any prior experience or exposure to image processing or computer vision Experience with Geospatial data formats (SAFE, CEOS, GeoTIFF) and GDAL/Rasterio Benefits Acquire valuable opportunities for learning and development through close collaboration with the founding team. Contribute to impactful projects and initiatives that drive meaningful change. We provide a competitive salary package that aligns with your expertise and experience. Enjoy comprehensive health benefits, including medical, dental, and vision coverage, ensuring the well-being of you and your family. Work in a dynamic and innovative environment alongside a dedicated and passionate team. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

🚀 We’re Hiring: Electronics & Communication Engineers Focus: RF Data Analytics · Radar Signal Processing · Electronic Warfare | Experience: 1 – 5 yrs | Age Limit: ≤ 30 yrs Why join Crimson? Work on next-generation radar and EW programs that safeguard critical national assets. Turn terabytes of raw I/Q captures into real-time intelligence alongside cross-functional experts. Ship your code from lab prototype to live field deployment and see immediate impact. What you’ll do Acquire – Automate high-throughput downloads, cataloguing and integrity checks of multi-gigabyte RF datasets. Clean & Sanitize – Write Python/Matlab routines for noise filtering, interference rejection and metadata standardisation. Transform – Build DSP modules to demodulate, resample and convert raw I/Q streams into emitter-level feature vectors. Ingest – Design robust ETL workflows into local and shared SQL/NoSQL databases with geospatial indexing. Analyse – Produce geospatial heat-maps, time-frequency plots and anomaly alerts that drive mission decisions. Present – Craft dashboards and concise reports that translate complex RF metrics into clear operational insight. Maintain – Handle routine calibration of RF front-ends, firmware upgrades and Linux/GPU server upkeep. Must-have qualifications Degree: M.Tech / ME / B.Tech / BE / M.Sc. in ECE, Telecom, Signal Processing, Radar Tech, Defence Electronics, or MCA with strong tech focus. Experience: 1 – 5 yrs hands-on with electronics, communications or signal-processing systems. Core knowledge: Electronic Support Measures (ESM), radar theory, communication waveforms, RF chain components. Tools: Matlab (or equivalent), Python (NumPy, SciPy, Pandas, PyTorch/SciKit-DSP-Comm), Git, Docker, Linux. Data skills: Building ETL pipelines, designing database schemas and basic DevOps practices. Nice-to-have superpowers GNU Radio and SDRs (USRP, HackRF) or Keysight/NI test equipment. REST API development with FastAPI or Flask. Geospatial tooling (GDAL, PostGIS, QGIS, ArcGIS). Familiarity with MIL-STD metadata formats (ST 0601/0603, ASTERIX) and radar messaging. Defence-sector clearance eligibility and a passion for national-security tech. What we offer Mission impact: Direct contribution to nationally strategic programmes with tangible outcomes. Growth runway: Sponsored certifications (DSP, EW, cloud), conference travel and mentoring from senior defence scientists. Cutting-edge lab: Petabyte-scale RF archive, GPU clusters and dedicated SDR testbeds. Competitive package: Market-aligned salary, performance bonus, medical & accident insurance, 30 days paid leave. How to apply Prepare your CV (PDF) and a one-page cover letter describing an RF or large-scale data-pipeline project you’ve handled. Deadline: 11 June 2025 (rolling reviews — apply early for priority). Show more Show less

Description Amazon’s Last Mile Analytics & Quality Maps team is building geospatial infrastructure to power the Last Mile delivery network that will deliver packages to hundreds of millions of customers around the world. The Amazon Maps Data team builds systems that model the real world to enable routing for drivers. The GIS team works cross-functionally to seamlessly curate and enhance last mile delivery network and geospatial data quality. Our team is seeking a passionate and data-driven GIS Program Manager to lead our efforts in enhancing driver experience and operational efficiency through advanced spatial analysis. This role is inherently cross-functional- you will work closely with engineering, operations, business intelligence and other teams on last mile delivery challenges. Through close collaboration and by conducting analysis using spatial techniques and data visualizations, you will drive these challenges to resolution. The ideal candidate has a background of GIS expertise, logistics understanding, project management skills, and a strong customer-centric approach to drive improvements in last-mile delivery. This job will require strong communication skills while having the ability to work independently in a high pressure, and often ambiguous, work environment. Passion and drive for customer service is a must. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done. Key job responsibilities Program manage GIS-based solutions for last-mile delivery challenges, through problem identification, scoping, creating and delivering long-term solutions, cross collaborating with technology, product, program, business, and operations teams. Serve as a subject matter expert in GIS applications and Geospatial (or spatial) analysis, spatial data visualization to various teams like technology, product, program, business, and operations. Develop and implement strategies for continuous map updates and improvements based on driver feedback, delivery data, and emerging GIS technologies. Coordinate cross-functional projects to standardize GIS procedures and eliminate root causes for map data inaccuracies within current systems. Extract valuable insights from spatial and non-spatial data sets using GIS tools and techniques Support Map data evaluations and quality assessment through insight sharing Basic Qualifications 2+ years of program or project management experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Experience with spatial analysis, GIS tools (QGIS etc.) and data visualization Experience in SQL and any scripting languages (Python, JavaScript) Preferred Qualifications Worked on proprietary and open source GIS libraries like GDAL, OGR, Geo Tools Working experience on front end web map application development with Leaflet, Typescript, Open Layers Knowledge on Map Navigation models like OSM and managing open source spatial databases like Post GIS Experience in requirement gathering and ability to write clear and detailed requirement document Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ - H84 Job ID: A2947677 Show more Show less