Job Description:
Trigyn has a contractual opportunity for a Data Scientist. This resource will be working Remotely.
Job Description:
Scope of Work:
• Model Adaptation: Focused on the model architecture, ensuring the model handles the resolution differences between drone (3cm) and satellite (30cm) imagery effectively.
• User Interface Enhancement: Upgrade BEAM's user interface to support new functionality and compatibility with the revised model outputs and manage deployment onto municipal infrastructure.
• Training and Inference Pipeline: Oversee the development and scaling of the BEAM architecture for fast, robust deployment in new scenarios.
• Data Management: Design and oversee the data labelling 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.
• Technical Collaboration: Work closely with Client's technical team to ensure all developments align with ongoing infrastructure improvements and maintain system integrity.
• Communication: Present and discuss technical outputs with both subject matter experts and general audiences.
• Documentation: Create comprehensive technical documentation, training materials, and user guides for municipal partners.
Required Experience:
• Qualifications: Master's degree or higher in Computer Science, Data Science, Remote Sensing, or a related field, with focus on machine learning applications (or demonstrable equivalent work experience).
• A minimum of 5 years of experience in Data science with at least one project working with Geospatial technologies.
• 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).
• MLOps knowledge is highly desirable
• Experience working with cloud hosting platforms such as Amazon Web Services (AWS), Microsoft Azure, Digital Ocean, Docker, Google Cloud is highly desirable.
Desired Experience:
• UI Development: Experience developing and maintaining user interfaces for technical applications.
• 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.
Must:
Hands-on experience with Machine Learning and Deep Learning model development — not just application-level integration
Familiarity with computer vision architectures relevant to building/object detection (e.g., U-Net, HRNet-style models)
Experience working with geospatial/aerial imagery data
Proven track record of building and fine-tuning models from scratch (not only deploying pre-built/third-party models)
A hybrid profile: ML/DL engineer with strong software engineering skills (rather than a Software Engineer who happens to know ML
Prior experience owning end-to-end ML lifecycle: research/experimentation ? training/fine-tuning ? packaging ? deployment ? scaling
Nice to have:
Experience with model training, tuning, and optimization for production use cases
Ability to package and productionize ML models for scaled deployment across use cases/geographies
Experience building CI/CD workflows and automation pipelines
Ability to optimize models for both local/on-premise hosting and cloud-based deployment
What Differentiates Strong Candidates:
Quantifiable experience: how many models built/fine-tuned vs. how many models simply deployed (built > deployed is the differentiator)
Segmentation-specific project experience over general ML/AI application experience
Experience scaling a single ML tool across multiple use cases and geographies
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 27001:2022 (ISMS) and CMMI Level 5 certified company. TRIGYN has offices in the United States, Canada, Switzerland and India.