AI/ML Engineer — Point Cloud to Floorplan Automation

About Robotic Imaging

The Opportunity

Key Responsibilities

• Design, prototype, and productionise a pipeline that converts point cloud data (.e57, .las, .rcp, .pts) into usable floorplan outputs (DWG, DXF, IFC).
• Evaluate and combine approaches across classical geometry (RANSAC, Hough transforms, slice-based extraction) and modern deep learning (PointNet++, KPConv, RandLA-Net, Point Transformer).
• Explore the use of vision and multimodal LLMs fine-tuned for AEC-specific tasks where appropriate.
• Build training and evaluation pipelines using our in-house library of real-world point clouds and validated ground-truth BIM models.
• Benchmark model accuracy against manual deliverables and iterate toward production-grade reliability.
• Collaborate daily with our scanning and modeling teams to refine requirements and validate outputs.
• Document architecture, methodology, and results clearly for both technical and non-technical stakeholders.

Required Qualifications

• 4+ years of hands-on experience in computer vision, 3D deep learning, or geometric processing.
• Strong proficiency in Python with NumPy, PyTorch or TensorFlow, Open3D, and PCL.
• Demonstrated production experience with 3D data (point clouds, meshes, voxel grids) — not just tutorials or coursework.
• Proven ability to own a model end-to-end: data preparation, training, evaluation, and deployment.
• Comfortable working on-site in Dubai and collaborating across multiple time zones.

Preferred Qualifications (Major Plus)

• Prior experience with AEC formats and tools (IFC, DWG, Revit API) and scan-to-BIM workflows.
• Background in photogrammetry or reality capture.
• Published research or open-source contributions in 3D vision or geometric deep learning.

Why This Role Stands Out

• Direct reporting line to the CEO — fast decisions, no bureaucracy.
• Access to a large, continuously growing library of real-world LiDAR point clouds paired with validated ground-truth models. You will not be hunting for training data.
• You will be building the product, not a feature inside someone else's product.
• Open to either full-time employment or a senior contractor engagement for the right candidate.

Compensation & Benefits (Full-Time)

• AED 24,000 – 28,000 per month, based on experience.
• UAE employment visa and Emirates ID, fully sponsored by the Company.
• DHA-compliant health insurance from day one.
• 30 days annual leave plus all UAE public holidays.
• End-of-service gratuity in accordance with UAE Federal Decree-Law No. 33 of 2021.