Firmus, powered by Bluebeam, is the leading AI platform for pre-construction design review and risk analysis, helping construction teams, detect design-related issues through intelligent document analysis.

Recently acquired by The Nemetschek Group through its subsidiary Bluebeam, we're uniquely positioned at the intersection of startup agility and enterprise scale.

We now have access to massive resources, an established customer base, and deep industry expertise, while maintaining our fastmoving, innovative startup culture.

The Team You'll join a lean, high-impact engineering team building a scalable AI engine that processes millions of construction plans to construct a comprehensive construction knowledge graph. We're on a mission to build an intelligent system that understands construction at massive scale.

Responsibilities :

• Lead a team of ML,Computer vision engineers and Data operation.
• Define and execute the technical roadmap for AI/ML capabilities across construction document analysis.
• Drive research initiatives to advance state-of-the-art in construction drawing analysis and error detection.
• Evaluate and integrate emerging AI technologies (foundation models, multimodal AI, etc.) into our platform.
• Establish best practices for model development, evaluation, and production deployment.
• Develop OCR and document understanding systems optimized for engineering drawings. Implement advanced techniques like few-shot learning, domain adaptation, and active. learning Lead data strategy including collection, annotation, and curation of construction drawing datasets.

Technical Expertise:

• 7+ years of experience in machine learning with 3+ years in technical leadership roles.
• Proven experience deploying large-scale ML systems in production environments.
• Strong background in deep learning frameworks (PyTorch, TensorFlow) and MLOps practices. Experience with transformer architectures, foundation models, and generative AI systems.
• Proven track record leading and mentoring technical teams.
• Strong communication skills with ability to explain complex technical concepts to diverse audiences.
• MSc/ PhD in Computer Science, Machine Learning, Computer Vision, or related field Preferred Qualifications.
• Deep expertise in computer vision, image processing, and document analysis.
• Experience managing complex, multi-stakeholder AI projects from conception to deployment.