AI / ML Infrastructure Engineer
- Джерело:
- djinni.co
Що робити
- Architect and scale high-performance GPU clusters (NVIDIA hardware) for model training and low-latency inference.
- Optimize model serving pipelines using Triton Inference Server, vLLM, and TensorRT.
- Collaborate with data scientists and MLOps engineers to streamline distributed training workflows.
- Monitor, troubleshoot, and optimize cloud infrastructure costs and performance bottlenecks.
Що очікуємо
- Minimum 3 years of hands-on experience in ML infrastructure, systems engineering, or DevOps roles.
- Strong proficiency in PyTorch, CUDA ecosystem, and container orchestration (Kubernetes, Docker).
- Deep experience with cloud providers (AWS, GCP) and Infrastructure as Code (Terraform).
- Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
Схожі вакансії
З блогу Trackr
Усі статті →
Знайдено через trackr.help/jobs · Канал: @trackrhelp · Бот для персональних сповіщень: @trackrhelpBot