Senior DevOps (ML-infrastructure / GPU)| TopSelection agency

• Client: large medical company (in-house IT development)
• Format: remote (RF)
• Duration: from 1 year → extension
• Salary: 280,000 – 300,000 ₽
• Employment: sole proprietor 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
• experience in the medical field will be a big advantage!

Responsibilities:

• Building and configuring infrastructure for machine learning tasks, including deploying and maintaining GPU servers, organizing model training and inference processes;
• Implementing MLOps practices: configuring 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.