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.
Developcomputer vision pipelines for reading and analyzing architectural drawings, PDFs, and scanned documents.
Fine-tuneand optimize LLMs for question answering, compliance checks, and rule-based decisioning.
Engineering s Integration
Collaborate with product and engineering teamsto integrate AI models into production systems.
Define model-level performance and quality requirements and partner with MLOps / platformteams to ensurescalable, secure deployment.
Design and maintain CI/CD and MLOps pipelines for training, evaluation, deployment, and monitoring of ML models.
Research s 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.
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.
