Posted on: 05/05/2026
Role & Responsibilities :
We are seeking a talented Principal Data Scientist to design, build, and optimize intelligent systems that power our permitting automation platform. The AI Engineer will develop NLP, computer vision, and machine learning models to interpret building codes, analyze permit documents, and automate decision-making processes. This role requires a mix of technical expertise, creativity, and problem-solving to transform complex regulations into scalable, AI-driven solutions.
Key Responsibilities :
AI/ML Model Development :
- Develop computer vision pipelines for reading and analyzing architectural drawings, PDFs, and scanned documents.
- Fine-tune and optimize LLMs for question answering, compliance checks, and rule-based decisioning.
Engineering & Integration :
- Define model-level performance and quality requirements and partner with MLOps / platform teams to ensure scalable, secure deployment.
- Design and maintain CI/CD and MLOps pipelines for training, evaluation, deployment, and monitoring of ML models.
Research & Innovation :
- Experiment with cutting-edge methods (RAG, embeddings, multimodal AI) to improve accuracy and efficiency.
- Translate regulatory complexity into elegant AI workflows.
Preferred Qualifications :
- Proficiency in Python, TensorFlow/PyTorch, and ML frameworks.
- Strong knowledge of NLP (transformers, embeddings, RAG), OCR, and computer vision.
- Experience with LLM fine-tuning and deployment.
- Familiarity with MLOps (Docker, Kubernetes, CI/CD, model monitoring).
- Strong problem-solving skills and ability to work in fast-paced, iterative environments.
- Bonus : Experience working with permitting, regulatory, or compliance datasets.
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