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    Job · 11255313

    Eartheye Space logo

    Senior Geospatial Engineer

    Eartheye Space · Thiruvananthapuram · onsite · Posted 69d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Role & responsibilities

    We are looking for a highly skilled Senior Geospatial Engineer with strong expertise in remote sensing, geospatial analytics, and Earth Observation (EO) data processing, with hands-on experience in Hyperspectral Imaging (HSI) and Thermal Infrared (TIR) datasets. You will play a key role in developing scalable geospatial intelligence solutions by processing multi-sensor satellite imagery and transforming complex Earth observation data into production-ready applications.

    You will collaborate closely with software engineers, AI/ML engineers, and data scientists to design and deliver innovative geospatial products for environmental monitoring, agriculture, mining, disaster management, defence, and other Earth observation applications.

    Your Expertise Includes

    • Strong expertise in Remote Sensing and Geospatial Data Analysis
    • Hands-on experience with Hyperspectral Imaging (HSI) and Thermal Infrared (TIR) data processing and interpretation
    • Advanced knowledge of image preprocessing, calibration, atmospheric correction, and spectral analysis
    • Experience with remote sensing software such as ENVI, ArcGIS, QGIS, SNAP, or similar platforms
    • Strong programming skills in Python using geospatial libraries such as GDAL, Rasterio, NumPy, OpenCV, GeoPandas, and related frameworks
    • Experience in raster and vector data processing, spatial analysis, and geospatial visualization
    • Knowledge of Machine Learning and Deep Learning techniques for remote sensing applications
    • Familiarity with satellite data formats, preprocessing workflows, and geospatial data pipelines
    • Experience handling large-scale geospatial datasets in cloud environments (AWS preferred)
    • Exposure to SAR, multispectral, or LiDAR datasets is an added advantage
    • Knowledge of Geospatial AI, Foundation Models, or GenAI applications is a plus

    Preferred candidate profile

    • Minimum 5 years of industry experience in Remote Sensing, Geospatial Engineering, or Earth Observation
    • Hands-on experience working with satellite imagery and Earth Observation datasets
    • Experience processing and analysing hyperspectral and thermal infrared imagery
    • Develop robust workflows for satellite data preprocessing, calibration, atmospheric correction, and quality assessment
    • Perform feature extraction, land cover classification, spectral unmixing, anomaly detection, and change detection
    • Build scalable geospatial processing pipelines for production environments
    • Develop solutions for applications including:
      • Environmental monitoring
      • Agriculture and precision farming
      • Mineral exploration
      • Thermal anomaly detection
      • Urban analytics
      • Disaster management
      • Defence and intelligence
    • Collaborate with AI/ML engineers to integrate geospatial models into production systems
    • Optimise processing pipelines for large-scale satellite datasets
    • Experience working in Agile product development environments
    • Strong analytical thinking, research mindset, and problem-solving skills
    • Ability to work independently while collaborating effectively with multidisciplinary teams
    • Excellent written and verbal communication skills

    Educational Qualification

    • Master's degree (M.Tech/MS) in Remote Sensing, Geomatics, Geospatial Science, GIS, Earth Observation, or a related discipline
    • PhD in Remote Sensing, Earth Observation, Geospatial Science, or related field is highly preferred

    Perks and benefits

    Tenure: Full-time, Permanent

    Location: Work from Office Technopark, Trivandrum

    Offer: Competitive Salary, Performance Benefits, and Employee Stock Options (ESOPs)


    Sourced from naukri

    Skills

    Geospatial ScienceRemote sensinggisHyperspectralgeomatics

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