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You are on a journey to join an exciting Company and be part of our success story to improve lives by developing resources sustainably. Here we offer you an exciting and dynamic work environment and will equip you with the know-how that will stretch and enhance your career journey.
Responsibilities:
In this role, you were expected focusing on:
Project Execution:
<ul>
<li>Remote Sensing project development, coordination, execution, and product delivery for key customers.</li>
<li>Close coordination with internal &amp; external customers, incorporating feedback and requisite deliverables.</li>
</ul>
Remote Sensing Data Analysis:
<ul>
<li>Explore and keep abreast of developments related to UAV, Satellites, and LiDAR technologies.</li>
<li>Model-script compilation, integration with internal management systems, and deployment in the production server as required.</li>
<li>Provide recommendations for system requirements such as hardware, software for project development &amp; deployment.</li>
<li>Big data processing automation, maintaining spatial databases, developing interactive user interface tools/apps.</li>
<li>Real-time database management for both historical &amp; real-time data on-premises and in the cloud.</li>
<li>Find end-to-end solutions from developing analytics to deployment &amp; distribution to potential customers.</li>
<li>Data collection, proof of concept (POC), and running until the pilot scale with a concrete roadmap for operational transition.</li>
</ul>
Coordinating &amp; Reporting:
<ul>
<li>Prepare technical reports or presentations on the results of developmental projects.</li>
<li>Develop standard operational procedures for the operational implementation of remote sensing workflows.</li>
<li>Provide suggestions to the Geospatial Data Scientist for new ideas and implementations.</li>
<li>Routine reports and operational recommendations to the Geospatial Data Scientist regarding project progress and challenges faced.</li>
<li>Develop standard operational procedures for the operational implementation of remote sensing workflows.</li>
</ul>
Qualifications:
<ul>
<li>Preferably, Masters in Geoinformation Science, Forest Engineering, or closely related discipline with 1 year of work experience OR Bachelor with minimum 3 Years of experience.</li>
<li>Modules with forestry applications or geospatial applications are an advantage.</li>
</ul>
Experience:
<ul>
<li>Excellent command of deep/machine learning model development using geo-spatial data through open-source tools for spatial data analysis, visualization, and interpretations.</li>
<li>Hands-on experience with programming tools such as R, Python, JavaScript, PHP, HTML, VB, etc.</li>
<li>Experience in big data management with demonstrated skills in processing, automation, compilation/integration, and deployment.</li>
<li>Developing dashboards with interactive widgets/tools, experienced in WebGIS &amp; Hadoop infrastructure.</li>
<li>Analyzing data from multiple platforms such as UAV, Aircraft &amp; Satellites using statistical models with artificial intelligence, deep/machine learning models.</li>
<li>Knowledge of forestry applications such as Tissue Culture &amp; Silviculture practices is a plus.</li>
<li>Excellent communication, interpersonal, and presentation skills.</li>
<li>Building cross-functional relationships to collaborate with business stakeholders and internal stakeholders/customers.</li>
<li>Resourceful and proactive, ability to propose alternate solutions to achieve desired outcomes.</li>
</ul>
Specific Knowledge:
<ul>
<li>In-depth knowledge of remote sensing techniques and data structure.</li>
<li>Expert in Computer vision and programming (R, Python, JavaScript, PHP, HTML, VB).</li>
<li>Artificial Intelligence Deep/Machine Learning Model building, pruning &amp; testing.</li>
<li>Good understanding of IT Infra/Enterprise Architecture, Configuration, deployment strategy.</li>
<li>Compilation &amp; integration of model scripts, open-source geospatial applications, and database management systems (AWS, Microsoft Azure, Cloudera/Hortonwork data platform).</li>
<li>Adequate skillsets in automated geospatial data processing, Artificial Intelligence Deep/Machine Learning Model building, pruning &amp; testing.</li>
</ul>
Disclaimer:
When you send us your resume and personal details, it is deemed you have provided your consent to us retaining your information in our talent recruitment database. All information provided will only be used for the recruitment process. RGE will only collect, use, process or disclose personal information where and when allowed to under applicable laws.
Only shortlisted candidates will be contacted for an interview. We endeavour to respond to every applicant. However, if you do not receive a response from us within 60 days, please consider your application for this position unsuccessful. We may contact you in the future for any opportunities that match your qualifications and experience.
Thank you for considering a career with RGE.
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Asisten Geospatial Engineer and Programmer

Asisten Geospatial Engineer and Programmer

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