Remote Senior MLOps Engineer - AI Pipelines & Infra

Emerging Travel Group; Portugal; Teletrabalho; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work schedule

Remote or hybrid work options

Development and training programs

Partial compensation for external training

Corporate travel discounts

Extra day off for personal matters

Resumo da oferta

A global travel-tech company is seeking an experienced MLOps professional to support its ML teams' infrastructure. The position is full-time and remote, available to candidates in Europe and CIS. Key responsibilities include managing GPU/TPU clusters, optimizing infrastructure, and deploying ML services. Ideal candidates have strong DevOps skills with a focus on MLOps and a proficiency in relevant tools like Docker and Kubernetes. The role offers a flexible work schedule, growth opportunities, and corporate travel benefits.

Qualificações

• 4+ years of DevOps experience, including 1+ year in MLOps.
• Experience with GPU/TPU infrastructure like NVIDIA stack and CUDA.
• Proficiency in Docker, Ansible, and Kubernetes.

Responsabilidades

• Support for clusters (GPU/TPU), containerization, and orchestration.
• Audit and optimize infrastructure and costs.
• Set up monitoring, alerting, and manage hardware resources.

Conhecimentos

DevOps experience

MLOps experience

Docker

Kubernetes

GPU/TPU infrastructure knowledge

Observability stack (ELK, Prometheus, Grafana)

Postgres

English (B1 level or higher)

Ferramentas

NVIDIA stack

CUDA

Ansible

Cloud platforms (AWS/GCP/Azure/Yandex)

Terraform

Spark/Hadoop

Kafka

Python scripting

Bash scripting

Descrição da oferta de emprego

A global travel-tech company is seeking an experienced MLOps professional to support its ML teams' infrastructure. The position is full-time and remote, available to candidates in Europe and CIS. Key responsibilities include managing GPU/TPU clusters, optimizing infrastructure, and deploying ML services. Ideal candidates have strong DevOps skills with a focus on MLOps and a proficiency in relevant tools like Docker and Kubernetes. The role offers a flexible work schedule, growth opportunities, and corporate travel benefits.