We are hiring an MLOps Engineer for a fixed-term contract ending in June 2026, based in Zaragoza or Barcelona (hybrid working model). 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. Signing bonus upon joining and a retention bonus at contract completion Relocation support if applicable Fixed-term contract until June 2026Hybrid working model with flexible hours (3 days onsite, 2 days remote)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 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 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 Multi-cloud or hybrid cloud environments This is a fixed-term contract role ending in June 2026.