Machine Learning Engineer
Machine Learning Engineer
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Job Description
Framework Migration: Contribute to the migration of fastai to Pytorch Lightning working closely with the technical team to ensure compatibility with new and existing functionality.
Pipeline Enhancement: Design and implement a flexible pipeline architecture that maintains compatibility with existing features with a focus on updated model architecture advanced loss functions and ensemble predictions.
Polygon Enhancement: Design and implement improved polygon regularization techniques for accurate delineation of buildings ensuring compatibility with evolving architecture.
Informal Settlement Detection: Integrate existing opensource solutions for informal settlement detection into the pipeline for building detection.
Testing Infrastructure: Updated testing frameworks for both model performance and code quality coordinating with the technical team to ensure coverage of new features.
MLOps Infrastructure: Implement DVC for dataset and model versioning alongside MLflow for experiment tracking and model registry.
Technical Documentation: Create detailed technical documentation covering architecture deployment and maintenance procedures.
Code Quality: Implement best practices for code organization version control and continuous integration across both new and existing components.
Integration Support: Work closely with the technical team to ensure all new infrastructure supports enhanced polygon regularization and multiclass detection needs.
Platform Compatibility: Ensure all infrastructure changes maintain compatibility with existing and new development tools.
Desired Experience:
Software Architecture: Experience designing and implementing largescale ML systems.
Testing & CI/CD: Experience setting up testing frameworks and continuous integration pipelines.
Code Quality: Strong understanding of software engineering best practices and design patterns.
Team Collaboration: Demonstrated ability to work effectively in collaborative development environments and coordinate technical implementations across team members.
Documentation: Experience creating technical documentation and maintaining API documentation.
Languages:
English (required)
Qualifications :
Qualifications: Masters degree or higher in Computer Science Software Engineering or related field (or a Bachelors degree with equivalent work experience).
ML Engineering: At least 3 years of experience in data science or machine learning engineering with focus on production systems.
Deep Learning Frameworks: Strong expertise in PyTorch or a related DL framework.
Geospatial Development: Familiarity with geospatial libraries and raster and vector processing (such as GDAL rasterio geopandas).
Remote Work :
Yes
Employment Type :
Contract
Employment Type
Remote
