You will own the reliability, scalability, and automation of machine-learning pipelines while managing the end-to-end ML lifecycle. This includes containerizing services, deploying on AWS, and improving observability through logging and metrics.
You will lead the in-house machine learning and AI agent development while managing a team of engineers and developers. The role involves overseeing the full lifecycle of AI/ML systems and collaborating with the CTO and CEO on technical strategy.
Join a talent community to be considered for future roles across engineering, product, sales, and marketing. Contribute to solving real-world water infrastructure challenges using AI technology.
Deliver end-to-end product features across the React frontend and Node.js API. Responsibilities include designing database queries, implementing real-time data via WebSockets, and maintaining production observability.
