About this role

Data Scientist / ML Engineer — Water Infrastructure Infinitii ai Daily tasks: - Own the full pipeline-to-model workflow: from raw, messy sensor/telemetry data to production-ready predictive models - Build and maintain the data pipelines your own models depend on - Work directly with utility operators and engineers — your models inform real operational decisions - Shape our approach to anomaly detection, time-series forecasting, and physics-informed ML - Collaborate across a distributed team (Poland + Canada) Musts: Python, SQL, Machine learning Strong data science fundamentals (modeling, validation, interpretation) and solid data engineering skills (pipelines, APIs, data quality) Python — must have Comfortable with ambiguous, messy real-world data Nice to have: Go, TypeScript Bonus: experience in water/utilities, environmental, or industrial IoT domains Bonus: time-series, anomaly detection We build ML systems that help water utilities and infrastructure operators predict and prevent failures — sewer overflows, flood risk, infrastructure breakdowns.

Real-world impact, real sensor data, real consequences when the model gets it wrong. Small, distributed team across Poland and Canada.

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