at a large retailer.💥|TopSelection agency

💰Salary: 240-270K RUB/month. Gross 🎯Location/Region: Russia 🕰Project Duration: 6 months + 📄Employment Type: Sole Proprietorship (IP) only

📌 Requirements:

• Experience with Kubernetes and cloud/on-prem clusters;
• Knowledge of Python and ML Ops tools (Kubeflow, Airflow);
• Experience in setting up CI/CD (Jenkins);
• Experience with storage systems and vector databases (Weaviate/Qdrant/PGVector);
• Knowledge in monitoring and logging (Prometheus, Grafana, ELK, OpenTelemetry).

✅Tasks:

• Deployment and support of an LLM platform in Kubernetes (Helm, Terraform, K8s Operators);
• Setting up CI/CD for ML/AI services (training, inference, data pipelines);
• Automation of ML workflows in Kubeflow;
• Setup and support of model monitoring (latency, drift, cost metrics);
• Management of data pipelines for training and inference (Kafka, DataLake, S3 object storage, vector databases);
• Optimization of GPU cluster performance (distributed training, efficient resource utilization);
• Ensuring security and compliance: environment isolation, access control, logging.

🏛About the project: Development of an internal corporate LLM platform for process automation, employee support, and improving data interaction efficiency. The project scope includes creating user-friendly interfaces (chat assistants, RAG search, text and image generation), integration with existing company systems, and ensuring control and monitoring of model usage.