Senior Machine Learning Engineer
Asseti|Posted 1 month ago
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Skills and experience
Location and salary
Role description
Join Asseti and push the boundaries of computer vision for geospatial analysis. As a Machine Learning Engineer, you'll develop and deploy models that analyze aerial imagery at scale -detecting cracks in infrastructure, identifying components like solar panels and parking lines, and scoring asset condition using vision models. You'll work with orthophotos spanning thousands of sites, building inference pipelines that process gigapixel images efficiently on distributed GPU infrastructure.
We're looking for someone with 8+ years of ML engineering experience and strong image processing fundamentals. You should have hands-on experience with PyTorch, object detection (YOLO family), and segmentation architectures (U-Net or similar). Experience with large image inference techniques (tiled/sliced inference, SAHI), geospatial data (GDAL, GeoTIFF, coordinate systems), and deploying models to production is essential. Familiarity with vision LLMs, 3D data processing, or photogrammetry workflows is a plus.
Our ML stack includes PyTorch, Ultralytics/YOLOv8, SAHI, U-Net, GDAL, OpenCV, and Claude Vision API. Models run on GCP GPU instances processing multi-region orthophoto data stored in S3. You'll own the full lifecycle - from training and evaluation to deployment and monitoring.
We offer a truly remote-first culture, allowing you to work flexibly from anywhere in South Africa. You'll join a small, senior team solving unique challenges at the intersection of computer vision, geospatial analysis, and predictive analysis. Your models will directly impact how organizations assess and maintain critical assets worldwide.
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About Asseti
What We Do
Asseti is a transformative asset performance management platform that digitizes, analyzes, and monitors the built environment. We provide real-time insights for proactive decision-making in the fields of construction and engineering. Our platform is a blend of Information Technology & Services, Asset Management, Infrastructure, Data & Analytics, and Software Development.
Why Work For Us
At Asseti, we are at the forefront of the Construction & Engineering industry, offering a unique blend of services including Contractors, Construction, Enterprise, B2C, SAAS, and B2B. We are a growing company with an estimated annual revenue of $1M-$10M and a dedicated team of 30 employees. Join us and be part of an innovative team that is transforming the built environment.
Our Culture
Our culture is deeply rooted in technology and innovation. We are located in the vibrant city of Sydney, New South Wales, Australia, operating in the South Africa/Sydney timezone. Our team is dedicated to creating a transformative platform that enhances asset performance management. We believe in the power of data and analytics to drive proactive decision-making.
Our Engineering Processes
Our engineering processes are defined by our commitment to technology. Our processes are designed to ensure the seamless functioning of our platform and to provide our clients with real-time insights.
Our Hiring Processes
Our hiring process is designed to find the best talent who can contribute to our innovative platform. We value skills and experience in Information Technology & Services, Technology, Asset Management, Infrastructure, Data & Analytics, and Software Development. If you are passionate about these areas and are ready to contribute to the transformation of the built environment, we would love to hear from you.
Tech Stack
application and data
utilities
dev ops
business tool
