AI Team Lead
Description
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, agentic processing, etc.) into our platform Establish best practices for model development, evaluation, and production deployment Develop OCR and document understanding systems optimized for engineering drawings Lead data strategy and production feedback loop including collection, annotation, and curation of construction drawing datasets
Requirements
- 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 agentic AI processes.
- 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
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