Co-Founder, CTO, Physical AI for Process Industries
Core
Building a physical AI platform combining physics-based models, live sensor data, and machine learning to optimize process plant operations in real-time for industries like food & beverage, chemicals, and pharmaceuticals.
Role type
Co-Founder & CTO (Applied AI/ML)
Builds
A unified platform layer for real-time process plant optimization, starting with energy/water/chemicals/downtime reduction pilots.
Domain
Climate tech / Industrial AI / Process Industries
Deliverable
production ML models
Required skills
Physics-informed ML, time-series analysis, reinforcement learning, agentic systems, sensor data curation, plant-graph contextualisation, industrial data stack integration (OPC UA/SCADA/MES/ERP), safety constraints management, human-in-the-loop workflows
Preferred skills
Experience in process industries, deployment of ML in messy real-world environments, entrepreneurial mindset, ability to build engineering teams
Technologies
Physics-based models, machine learning pipelines, AI agents, automation workflows
Responsibilities
Define technical vision and architecture, build MVP from ground up, deploy ML products in industrial environments, shape platform models and operator-facing apps, build and lead engineering team
Seniority
Co-Founder, full ownership of technical direction and execution