#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: from 1 year → extension 💸 Salary: 280,000 – 300,000 ₽ 📄 Employment: Individual Entrepreneur (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 ✅ experience in the medical field 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 operation;
• 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.

📬 Apply: @AllaDemHR with the subject DevOps