AI Infrastructure Engineer III

Mozn

≈ 993,4 тыс.–1,8 млн ₽ · 11,1 тыс.–20,2 тыс. €

12 667 – 23 000 $

🌍 Удалённо

Senior

Полная занятость

🌐 Глобал

Продуктовая

Tech

Описание вакансии

Обязанности

•Automate AI infrastructure provisioning with Infrastructure as Code

•Build CI/CD pipelines for ML workloads

•Build scalable highly available model serving infrastructure

•Build self service AI ML platform tooling

•Deploy and operate Kubeflow MLflow KServe and Ray

•Design and operate GPU clusters for AI workloads

•Design deploy and operate AI ML platforms

•Design infrastructure for model training experimentation and feature engineering

•Implement monitoring and observability for GPU utilization and inference latency

•Manage NVIDIA GPU Operator and GPU enabled Kubernetes environments

•Optimize GPU scheduling utilization sharing autoscaling and resource allocation

•Optimize distributed GPU training performance

•Provision and manage cloud resources for AI workloads

•Troubleshoot AI infrastructure performance bottlenecks

Условия

•Autonomy

•Flexible responsibility

•Fun dynamic workplace

•Health insurance

Технологии: AWS, Ansible, Azure, Bash, CI/CD, CUDA, Cloud platform, Distributed Training, ELK, GPU Operator, GitOps, Go, Google Cloud, Google Cloud Platform, Grafana, Helm, Infrastructure as Code, KServe, Kubeflow, Kubernetes, Kubernetes Helm, MLflow, Model Serving, NCCL, NVIDIA GPUs, OpenSearch, OpenTelemetry, Prometheus, Python, Ray, Terraform, “as-code”