Senior Mlops Engineer (País Vasco)

Join an ambitious and fast-growing deep tech environment where you’ll shape the infrastructure behind cutting‑edge AI models. This is a high‑impact opportunity to work at the intersection of large‑scale systems engineering and advanced machine learning, driving performance, efficiency, and scalability of next‑generation LLMs.
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What you will do
Architect and optimize distributed training pipelines for large-scale AI models using NVIDIA NeMo and related frameworks.
Design and deploy high-performance inference systems leveraging vLLM, TensorRT-LLM, and SGLang.
Implement advanced optimization techniques such as continuous batching, quantization (FP8/AWQ), and PagedAttention.
Orchestrate ML workloads across cloud and on‑prem clusters using SLURM, Ray, Flyte, or similar tools.
Build and maintain end‑to‑en...