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Blitz Permits - Principal Data Scientist - NLP/Computer Vision

BlitzPermits
12 - 15 Years
Multiple Locations

Posted on: 05/05/2026

Job Description

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 :


- Design, train, and evaluate NLP models to interpret building codes, zoning rules, and permit requirements and work with MLOps / engineering to deploy them into production.

- 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 :


- Collaborate with product and engineering teams to integrate AI models into production systems.

- 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 :


- Stay current on advances in AI, generative models, and regulatory tech applications.

- Experiment with cutting-edge methods (RAG, embeddings, multimodal AI) to improve accuracy and efficiency.

- Translate regulatory complexity into elegant AI workflows.

Preferred Qualifications :


- 12+ years of experience in AI/ML engineering (startup/GovTech experience is a plus).

- 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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