We are looking for an AI Platform / MLOps Engineer to join a fast-growing AI team within an international technology environment.
In this role, you will be responsible for operating, scaling, and improving AI/ML systems in production , ensuring that training, inference, pipelines, and platform services are reliable, observable, secure, and cost-efficient.
You will work at the intersection of MLOps, DevOps, Cloud Engineering, and AI platform architecture , supporting the full lifecycle of AI systems—from model training environments to production inference, CI/CD automation, monitoring, and cost optimisation.
This is a hands‑on role for someone with a strong platform engineering mindset , solid experience in AWS, infrastructure, automation, and ML tooling , and a passion for building production‑grade AI systems.
If you enjoy making AI systems scalable,...