MLOps Engineer

hace 1 semana

Zaragoza, Zaragoza, España DeepRec A tiempo completo

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.

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 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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