The AI/MLOps Engineer (AMOE) is an applied solutions expert who combines working knowledge of software engineering, machine learning, and DevOps best practices.
As part of a small team of dedicated AI problem solvers, an AMOE draws upon their practical skills to build CI/CD pipelines, deploy applications, promote security by design, and generally automate all the things.
Our team creates production ML/AI applications spanning multiple business domains, from logistics and operations to sales and business optimization.
Our work often involves collaboration with vendors, business stakeholders, etc., therefore communication skills and the ability to capture ideas in diagrams and documentation are equally important.
To help everyone sleep soundly at night, we seek teammates who write code with an eye for maintainability and testability.
We like integration tests, CI/CD, observability, and twelve-factor design.
The ideal candidate:
enjoys learning across the tech stack, from new developments in DevSecOps and automation to machine learning and artificial intelligence
takes pride in their work and derives great satisfaction from building reliable and maintainable infrastructure to support our team
isn't afraid to voice opinions, propose solutions, and receive constructive criticism in a collaborative design process
is a social coder who likes sharing and receiving code reviews, and values pair programming where appropriate
thrives in a remote-first work environment and uses remote collaboration tools effectively