Our client is one of the largest companies in the world dedicated to the development, growth and marketing of Agriculture seeds. They strive to develop hybrids that improve nutrition, boost crop yields, limit spoilage, optimize water & climate variables and reduce the need for chemicals and other inputs. They are committed to consistently introducing innovative products to their customers. It's amazing to consider that improving human health, promoting environmental stewardship and fostering greater economic growth for the agricultural community can all start with something as small as a seed.
PLEASE FORWARD YOUR RESUME/CV TO firstname.lastname@example.org.
We are looking for an Engineering Technician (Remote Sensing) who will support the validation of data quality and perform processing and analysis of aerial imagery of crop fields acquired by Manned and Unmanned Aerial Vehicles. This role will support the development and scale-out of enterprise level automated aerial imagery processing pipeline.
What you will do:
- Execute field data ingest pipeline to load field data into internal database systems
- Process imagery and meta data to produce geo-referenced and calibrated layers
- Validate data quality of image stitching, radiometric calibration and statistical models application
- Support researchers with accessing the data for research projects
Working hours: 8 AM - 5 PM
--Modern computer programming language (Python, Java, C++)
--Cloud computing environments such as AWS, S3, EC2
--Our team is composed of some of the most brilliant interdisciplinary minds in the industry. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible product and experience for our
What you bring to the table:
--B.S. in a quantitative discipline such as Computer Science, Remote Sensing, Statistics, Environmental Science, EE, Physics or a closely related field.
--1+ years of relevant work experience
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