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
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 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.
📌 Senior MLOps Engineer (Madrid)
🏢 European Tech Recruit
📍 Madrid
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