We're building something unusual. A petroleum pump can go down for a day or two - and that downtime can mean serious business loss. We're building technology that can see failure coming before it happens. We want to combine that data with AI, physics and engineering principles to understand how machines behave, detect anomalies and predict when something is likely to go wrong. The idea is simple : Don't wait for the machine to fail. Predict the failure.

The Role :

Build the intelligence layer that connects : Machine - Real-time data - Physics - AI - Prediction. You'll work across the stack - building the data pipelines, backend, AI models and product that turn raw machine signals into "something is going wrong, and here's what we think will happen."

What we're looking for :

- Can build AI systems end-to-end, not just models

- Has worked with real-time / streaming / time-series data

- Is strong in Python + backend + APIs + databases

- Understands ML, anomaly detection and prediction

- Has experience with IoT, telematics, sensors or connected devices

- Is curious about physics and how physical systems behave

- Can take an idea from "we think this should work" - working production system

Experience that helps :

- Physics, Robotics, Automotive, Industrial IoT, Telematics, Predictive maintenance, Signal processing, Control systems, Edge AI.

Your edge :

- Can you understand a physical problem and turn it into intelligent software? If yes, come build with us.