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 integral 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 companyRole 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 stakeholdersRequired 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 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 plusPreferred 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 managementThis is a fixed-term contract role ending in June 2026.