Descripción de la oferta
pbCompany Description: /b /ppbr/ppAistech Space is focused on generating affordable, recurrent, high resolution thermal imagery of the planet to provide a new perspective of Earth’s changing resources. The company is based in Barcelona and aims to revolutionize remote sensing for environmental monitoring and resource management. /ppbr/ppOur vision is focused on a key sentence: “See the Unseen, protect what matters most on Earth”. /ppbr/ppbWhat you will do: /b /ppbr/ppAistech Space is looking for a Scientist in Maritime Remote Sensing to lead the development and deployment of Machine Learning (ML) models focused on maritime applications using earth observation data in our Remote Sensing Team. /ppbr/ppYou will be responsible for creating image processing chains, integrating external data, and developing models for vessel detection and maritime security. You will collaborate closely with data scientists and software developers to transition these models and derived products from prototype to seamless deployment, integrating them into internal tools, applications, operational products, and onboard satellite systems. /ppbr/ppThe daily tasks to be achieved in this position are: /ppbr/pulliIntegrate and deploy Machine Learning (ML) models, specifically including YOLO and Random Forest models. /liliDevelop and maintain robust image processing chains for VIS, NIR, and Thermal Infrared (TIR) bands to create ML-ready datasets. /liliDevelop, update, and maintain ML models, specifically focusing on vessel detection and other applications pertinent to maritime navigation and security. /liliDevelop tools and automated pipelines for continuous model validation, monitoring, versioning, and retraining. /liliCollaborate with data scientists to move ML models from prototype to deployment, and with software developers to embed models into user-facing applications and internal tools. /liliUtilize expertise in geospatial data analytics to process imaging products, integrating external data (such as AIS) to enhance detection models and automate processing. /liliCreate and maintain comprehensive technical documentation for deployment pipelines and operational models. /li /ulpbr/ppbWho you are: /b /ppbr/ppbMust: /b /ppbr/pulliBSc/MSc in Engineering, Environmental Sciences, Physics, Mathematics or relevant degree. /liliExperience in working with remote sensing data in the thermal infrared region (e.g. Landsat, Aster, Sentinel-3, MODIS,...) (+3 years) /liliExperience in geospatial image processing using Python/R/Javascript (+3 years) /liliExperience with vessel detection or marine applications using remote sensing technologies. (+ 3 years) /liliProficiency in processing Synthetic Aperture Radar (SAR) data, including platforms like Sentinel-1. /liliKnowledge of data structures to accommodate both vector and raster geospatial datasets into ingestion pipelines for a geospatial platform. /liliFluency in English. /li /ulpbr/ppbNice to have: /b /ppbr/pulliKnowledge of relational and/or NoSQL database technologies. /liliKnowledge of APIs for data acquisition and data dissemination. /liliKnowledge of Agile methodologies. /li /ulpbr/ppbr/ppbWhat You’ll Gain by Joining Us /b /p
