Lead ML Engineer – Computer Vision

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Benchmark Technology

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1995

🏢 Enterprise

🔐 Security

📡 Telecommunications

Enterprise • Security • Telecommunications

Benchmark Technology is a Saudi Arabia–based professional ICT services company headquartered in Riyadh with a branch office in Bangalore, India. The company provides solutions in converged infrastructure, network infrastructure, physical security, datacenter preparation/building, and building automation systems for businesses across Saudi Arabia. It is led by experienced technical, sales, and marketing professionals and offers services such as datacenter readiness, physical security systems, and managed infrastructure support.

📋 Description

• Own and expand our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation • Architect, build, and deploy ML systems for object detection, segmentation, document understanding, and information extraction from complex building plans • Drive R&D across computer vision and/or NLP as applied to construction documents and related data • Develop multi-modal approaches that combine vision with language features for document analysis (LLMs/NLP) • Mentor junior engineers and help raise the bar on execution, code quality, and decision-making • Ensure systems are reliable, maintainable, testable, and observable in production

🎯 Requirements

• 8+ years of experience in Machine Learning Engineering, with deep focus in computer vision • Expert Python skills, with strong experience in PyTorch and FastAPI • Proven work with segmentation models, detection frameworks, and OCR/document pipelines • Strong image processing fundamentals (OpenCV, geometric transforms, preprocessing, etc.) • Comfortable in Linux; hands-on with Docker/containerization for deployment • Experience building and maintaining MLops infrastructure (e.g., ClearML, MLflow) • Ability to design scalable, high-performance ML systems (not just prototypes) • Strong problem-solving ability and comfort operating independently in a fast-paced environment

🏖️ Benefits

• Competitive salary + meaningful equity • Comprehensive benefits (health, dental, vision) • Professional development budget (courses, conferences, research exploration) • Real-world ML problems with direct impact • High growth potential