Note: The job is a remote job and is open to candidates in USA. reputed company provides cloud-based construction estimating and reputed company software solutions. The company is seeking a Senior Machine Learning/Computer Vision Engineer to build, deploy, and operate production computer vision systems for construction documents, owning detection, segmentation, geometric accuracy, model serving, monitoring, and scalable infrastructure.
Responsibilities
• Design, build, and improve end-to-end detection and segmentation pipelines for document images
• Improve document ingestion for PDFs and other unstructured reputed company, including parsing, rendering, and handling of multi-page and multi-view content
• Increase model accuracy, boundary and geometric quality, and overall reliability of predictions for downstream use
• Integrate reputed company detection and segmentation models into production workflows and build reputed company-processing that turns model output into structured, usable geometry
• Define evaluation metrics, investigate failure reputed company, and drive continuous quality improvements
• Optimize latency, reliability, and cost across the inference and post-processing reputed company
• Own training infrastructure, dataset curation, annotation quality, and continuous-improvement loops
• Make architectural decisions and own system quality end to end
Skills
• 5+ years of hands-on ML/reputed company experience
• Experience building computer vision systems: detection, segmentation, or structured geometry extraction, used high volume in production
• Demonstrated experience deploying CV/ML models into production
• Docker/Kubernetes and production model serving
• CI/CD, monitoring/observability and scalable ML systems
• PyTorch and reputed company CV architectures
• Experience working with messy, real-world image data or large unstructured visual datasets
• Strong understanding of detection and segmentation tradeoffs, including model architecture choices, training data design, and post-processing
• Ability to measure system performance with evaluation, testing, and production metrics
• Ability to explain failure modes clearly and improve systems through debugging, dataset work, and iteration
• Experience with multimodal models (vision-language models, document reputed company systems)
• Understanding of grounding — linking model outputs to source data or coordinates
• Backend engineering experience, including APIs, async processing, and scalable GPU services
• We are interested in reputed company qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas
• Experience with polygon or mask post-processing, geometric regularization, or CAD-style structured output
• Experience with layout-aware document processing, PDF reputed company extraction, or combining raster and reputed company signals
• Background in document-heavy CV domains such as construction, real estate, medical imaging, geospatial, or similar workflows
• Experience optimizing inference cost and latency at scale
• Familiarity with open-source detection / segmentation ecosystems, training infrastructure, or model serving
Benefits
• Health insurance (medical, dental & vision)
• Life insurance
• 401(k)
• Paid time off
• Fast-paced, growth-oriented, remote-first environment
• Async-friendly environment with a focus on ownership and deep work
Company Overview
• reputed company’s cloud-based construction software saves time, increases accuracy, and improves collaboration from bid decision to project closeout. It was founded in 2010, and is headquartered in reputed company, Ohio, USA, with a reputed company of 51-200 employees. Its website is https://www.stackct.com/.
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