Description
The MLOps Engineer will build reusable research infrastructure, workflows, templates, interfaces, and automation for generative AI researchers, supporting experimentation, training, evaluation, data processing, model packaging, reproducibility, observability, and CI/CD. The role partners with researchers and the ML platform team to translate ambiguous research needs into scalable, reliable capabilities, supports GPU and distributed workloads, and contributes to shared ML engineering standards. It requires Python, Linux, Docker, Kubernetes, CI/CD, cloud, Terraform, and ML lifecycle knowledge, and offers remote work from anywhere in Brazil with health, dental, life insurance, and other benefits.
