AI / ML Engineer

Job Description

Krane is building intelligent tools that power the future of construction operations. You’ll lead the design and deployment of intelligent systems that automate project documentation, streamline supplier workflows, and unlock new efficiencies across the construction supply chain.

You’ll work at the intersection of machine learning, product, and operations—turning messy, real-world construction data into reliable, scalable features that directly impact customers.

Responsibilities

• Design, build, and deploy ML models for document parsing, anomaly detection, forecasting, and decision support across construction workflows.
• Leverage LLMs, NLP, OCR, and embeddings to process unstructured data such as RFQs, invoices, delivery notes, emails, and project documentation.
• Develop end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment to production.
• Collaborate with product and engineering teams to ship ML-powered features—from ideation and prototyping through to launch and iteration.
• Implement robust evaluation and monitoring for models in production, including performance tracking, drift detection, and error analysis.
• Optimize models and inference systems for latency, cost, and reliability in real-world, production environments.
• Work with structured and unstructured construction data to uncover patterns, identify anomalies, and surface actionable insights to users.
• Contribute to Krane’s AI strategy, helping define technical direction, best practices, and standards for ML across the engineering organization.
• Document your work clearly, including model assumptions, limitations, and operational runbooks for production systems.
• Stay current with modern AI / ML tooling and research and evaluate emerging methods that can improve Krane’s product and platform.

What We’re Looking For

Bonus

Compensation