Machine Learning Engineer
il y a 4 semaines
Job Details: Machine Learning Engineer - Deep Learning & Computer VisionPosition Id: G0225-0022Job Type: 6-12 months (contract)Country: Remote (Europe)Location: RemotePay Rate: OpenJob Description:Trigyn has a contractual opportunity for a Machine Learning Engineer - Deep Learning & Computer Vision. This resource will work remotely for our client.Job Responsibilities:Framework Migration: Lead the migration of fastai to Pytorch Lightning, working closely with the technical team to ensure compatibility with new and existing functionality.Model Adaptation: Modify deep learning architecture to distinguish between formal structures, backyard dwellings, and other informal structures in aerial imagery.Clustering Implementation: Develop and implement algorithms to identify multi-structure homesteads ('umuzi') and complex building patterns.User Interface Enhancement: Upgrade user interface to support new functionality and compatibility with the revised model outputs, and manage deployment onto municipal infrastructure.Training Pipeline: Design and oversee the data labeling strategy, working with local experts to ensure accurate classification of different structure types.Quality Assurance: Implement rigorous validation procedures to ensure accurate structure detection and classification across different urban contexts.Municipal Integration: Work with municipal stakeholders to integrate results into existing workflows and validate outputs against ground truth data.Technical Collaboration: Work closely with the client's technical team to ensure all developments align with ongoing infrastructure improvements and maintain system integrity.Documentation: Create comprehensive technical documentation, training materials, and user guides for municipal partners.Required Experience:Qualifications: Master's degree or higher in Computer Science, Remote Sensing, or related field, with focus on machine learning applications (or a Bachelor's degree with equivalent work experience).Deep Learning: At least 3 years of experience applying deep learning to computer vision problems, particularly in remote sensing or geospatial applications.Technical Stack: Proficiency in PyTorch or a related DL framework, and experience with geospatial libraries (GDAL, rasterio, geopandas).Desired Experience:UI Development: Experience developing and maintaining user interfaces for technical applications.Clustering: Strong experience with clustering algorithms in geospatial contexts.Model Development: Demonstrated experience adapting and fine-tuning deep learning models for specific use cases.Geospatial Analysis: Strong understanding of GIS principles and experience working with aerial/satellite imagery.Project Implementation: Experience implementing technical solutions in developing country contexts is desirable.Team Collaboration: Proven ability to work effectively in collaborative technical environments and with non-technical stakeholders.Documentation: Strong technical writing skills and experience creating user documentation.
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Machine Learning Engineer
il y a 4 semaines
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