Senior Mlops Engineer

We're hiring a Senior MLOps Engineer to lead the architecture and optimization of large-scale AI training and inference infrastructure.

¿No sabe con seguridad qué habilidades necesitará para esta oportunidad? Simplemente lea la descripción completa a continuación para obtener una idea clara de los requisitos del candidato.

You'll design distributed training pipelines, deploy high-performance LLM serving systems, optimize GPU utilization, and build scalable ML platforms using technologies such as PyTorch, NVIDIA NeMo, CUDA, Kubernetes, vLLM, TensorRT-LLM, SGLang, Ray, SLURM, and MLflow .

What we're looking for:

• 5+ years in MLOps, DevOps, or Software Engineering
• 2+ years working with LLM infrastructure
• Strong Python skills and experience with Kubernetes
• Expertise in distributed training, GPU optimization, and ML infrastructure
• Experience with NVIDIA xhfqzwm AI software stack and high-performance computing ...