Principal Data Scientist

Key ResponsibilitiesAI/ML Model DevelopmentDesign,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 IntegrationCollaborate 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 InnovationStay 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.Qualifications12+ 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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