DevOps Engineer
hace 3 días
We are hiring an MLOps Engineer for a fixed-term contract ending in June 2026, based in Zaragoza or Barcelona (hybrid working model). Por favor, asegúrese de leer completamente el resumen y los requisitos de esta oportunidad de empleo que se detallan a continuación. This opportunity is with a leading European deep-tech company operating at the intersection of AI and advanced computing. The role focuses on deploying and operating large-scale machine learning and large language model systems used by global enterprise clients, including Fortune 500 companies. What is offered: Competitive annual salary starting from 45,000 EUR, depending on experience and qualifications Signing bonus upon joining and a retention bonus at contract completion Relocation support if applicable Fixed-term contract until June 2026 Hybrid working model with flexible hours (3 days onsite, 2 days remote) International, highly technical environment within a fast-scaling Series B company Role responsibilities: Design, build, deploy, and monitor ML and LLM pipelines across the full model lifecycle Deploy production-grade ML and LLM solutions to enterprise customers Implement CI/CD, GitOps, containerization, and orchestration using tools such as Docker and Kubernetes Monitor model performance, data drift, and system health, including alerting and truth analysis Manage and optimize cloud infrastructure (AWS and/or Azure) for scalability and cost efficiency Collaborate closely with Product, DevOps, and AI research teams Communicate model performance and system status to technical and non-technical stakeholders Required experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 3+ years of experience in MLOps, ML Engineering, LLMOps, or DevOps roles Strong experience with public cloud platforms (AWS and/or Azure) Proficiency xcskxlj in Python and distributed ML frameworks such as Ray, DeepSpeed, FSDP, or Megatron-LM Solid understanding of LLM architectures, deployment patterns, and retrieval-based systems Experience with CI/CD pipelines, containerized environments, and Kubernetes Fluent English; Spanish is a plus Preferred experience: Experience with Mixture-of-Experts models Multi-cloud or hybrid cloud environments Real-time or streaming ML systems LLM observability, inference optimization, and API management This is a fixed-term contract role ending in June 2026.
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