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We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. At the Jülich Supercomputing Centre (JSC), we operate some of Europe's most powerful computing systems and provide them to science and engineering communities in Germany and across Europe. As an MLOps Engineer, you will work at the intersection of AI enablement and production-grade operations-helping teams run inference services that are dependable, scalable, and secure. * Scalability, Performance & Efficiency: Tune inference services to optimize latency, throughput, batching, GPU utilization, and multi-tenant fairness. We are looking for a colleague who can confidently operate modern infrastructure and understands what it takes to run AI inference services in production. * Relevant experience in platform operations, Site reliability engineering, DevOps, or infrastructure engineering
We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. At the Jülich Supercomputing Centre (JSC), we operate some of Europe's most powerful computing systems and provide them to science and engineering communities in Germany and across Europe. As an MLOps Engineer, you will work at the intersection of AI enablement and production-grade operations-helping teams run inference services that are dependable, scalable, and secure. * Scalability, Performance & Efficiency: Tune inference services to optimize latency, throughput, batching, GPU utilization, and multi-tenant fairness. We are looking for a colleague who can confidently operate modern infrastructure and understands what it takes to run AI inference services in production. * Relevant experience in platform operations, Site reliability engineering, DevOps, or infrastructure engineering
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