Job 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.
Languages:
• English (required)
For Immediate Response, Please send your Resume to Global-Recruitment@Trigyn.com
TRIGYN TECHNOLOGIES is a multinational IT services company with resources deployed in 28 countries. TRIGYN is an ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 certified company. TRIGYN has offices in the United States, Canada, Switzerland and India.