Research & Product Development: Explore new Data & AI use cases linked to construction, technical inspection, risk management, buildings, infrastructure, and engineering processes
Data Collection & Structuring: Identify, collect, clean, and structure large volumes of data from multiple sources such as documents, images, project data, inspection reports, sensors, geospatial data, and business systems
Data Pipelines: Build robust and scalable data pipelines to prepare, enrich, and deliver high-quality datasets for AI models and product features
AI Enablement: Support the development and integration of AI models by preparing the right data foundations, evaluating outputs, and improving model performance through better data engineering
Application Development: Develop modern web applications and client-facing products using technologies such as JavaScript, React, and Python
Prototyping & Industrialization: Rapidly build prototypes, test them with users, iterate fast, and help transform successful concepts into reliable products
Innovation & Startup Mindset: Work in a fast-moving environment where ownership, creativity, pragmatism, and execution speed are critical
Cross-functional Collaboration: Collaborate with business experts, engineers, inspectors, data specialists, and external partners to turn complex industry challenges into usable digital solutions
