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Descripción de la vacante
A leading AI consulting firm is seeking a Senior MLOps/DevOps engineer to build and manage AWS-based infrastructure for AI models. This remote role requires expertise in Kubernetes and Terraform, as well as experience in CI/CD pipeline development. The ideal candidate will have a strong background in deploying ML models and collaborating with ML researchers and engineers. Competitive compensation and a remote-first work model are offered.
Servicios
Competitive fixed compensation
20 days paid time off
Training & development budget
Apple gear
Formación
5 years in a Senior DevOps SRE or MLOps Engineering role supporting production environments.
Strong experience designing and maintaining Kubernetes clusters.
Hands-on expertise with Terraform and cloud infrastructure management.
Responsabilidades
Design and build AWS-based AI/ML infrastructure with Terraform.
Architect and operate production Kubernetes clusters.
Build automated training and deployment pipelines.
Conocimientos
Kubernetes management
Terraform
Python programming
CI/CD pipeline creation
Cloud infrastructure management
Herramientas
Docker
GitLab
Jenkins
Descripción del empleo
A leading AI consulting firm is seeking a Senior MLOps/DevOps engineer to build and manage AWS-based infrastructure for AI models. This remote role requires expertise in Kubernetes and Terraform, as well as experience in CI/CD pipeline development. The ideal candidate will have a strong background in deploying ML models and collaborating with ML researchers and engineers. Competitive compensation and a remote-first work model are offered.
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.