#vacancy #remote #RF #vacancy #remote #Fulltime #DevOps #SeniorDevOps #MLOps #GPU #Kubernetes #Terraform #MLflow #Kubeflow #ITmedicine

Senior DevOps (ML Infrastructure / GPU) | TopSelection Agency

Client: Large medical company (in-house IT development) Format: Remote (RF) Duration: 1 year onwards → extension Salary: 280,000 – 300,000 ₽ Employment: Sole Proprietorship (IP) only

Key Requirements:

• DevOps experience from 4 years
• GPU loads, CUDA, on-prem ML stack
• K8s (GPU) + Docker + Terraform
• MLflow / Kubeflow, Airflow, DVC
• Triton / TorchServe
• Bash + Python
• Prometheus / Grafana / Zabbix
• Medical field experience will be a big advantage!

Responsibilities:

• Building and configuring infrastructure for machine learning tasks, including deployment and maintenance of GPU servers, and organizing model training and inference processes;
• Implementing MLOps practices: setting up CI/CD pipelines for models, organizing versioning and monitoring of their performance;
• Supporting and optimizing ML model training and deployment pipelines;
• Working with the stack: Kubernetes (including GPU), Docker, MLflow / Kubeflow, Airflow, DVC, Triton / TorchServe, Terraform, Prometheus / Grafana / Zabbix, GPU (CUDA), Bash + Python.