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