ppWe're hiring a bSenior MLOps Engineer /b to lead the architecture and optimization of large-scale AI training and inference infrastructure. /ppYou'll design distributed training pipelines, deploy high-performance LLM serving systems, optimize GPU utilization, and build scalable ML platforms using technologies such as bPyTorch, NVIDIA NeMo, CUDA, Kubernetes, vLLM, TensorRT-LLM, SGLang, Ray, SLURM, and MLflow /b. /ph3What we're looking for: /h3ulli5+ years in MLOps, DevOps, or Software Engineering /lili2+ years working with LLM infrastructure /liliStrong Python skills and experience with Kubernetes /liliExpertise in distributed training, GPU optimization, and ML infrastructure /liliExperience with NVIDIA AI software stack and high-performance computing /li /ulpThis is an opportunity to shape the technical direction of next‑generation AI infrastructure while working on cutting‑edge LLM training and inference at scale. /p /p #J-18808-Ljbffr

📌 Senior MLOps Engineer (Barcelona)
🏢 European Tech Recruit
📍 Barcelona