We're hiring a Senior MLOps Engineer to lead the architecture and optimization of large-scale AI training and inference infrastructure. You'll design distributed training pipelines, deploy high-performance LLM serving systems, optimize GPU utilization, and build scalable ML platforms using technologies such as Py Torch, NVIDIA Ne Mo, CUDA, Kubernetes, v LLM, Tensor RT-LLM, SGLang, Ray, SLURM, and MLflow. What we're looking for: 5+ years in MLOps, Dev Ops, 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 AI software stack and high-performance computing This is an opportunity to shape the technical direction of next‑generation AI infrastructure while working on cutting‑edge LLM training and inference at scale. #J-18808-Ljbffr
📌 Senior Mlops Engineer (Barcelona)
🏢 European Tech Recruit
📍 Barcelona
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