MLOps Engineer

hace 2 semanas


Zaragoza, España MULTIVERSE COMPUTING A tiempo completo

Come and join our multicultural team5 locations+27 languagesWe are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback.Why join us?We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting‑edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum‑AI unicorn in the making.”We offerCompetitive annual salary starting from €45,000, based on experience and qualifications.Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.Relocation package (if applicable).Fixed‑term contract ending in June 2026.Hybrid role and flexible working hours.Be part of a fast‑scaling Series B company at the forefront of deep tech.Equal pay guaranteed.International exposure in a multicultural, cutting‑edge environment.As a MLOps Engineer, you will:Deploy cutting‑edge ML/LLMs models to Fortune Global 500 clients.Join a world‑class team of Quantum experts with an extensive track record in both academia and industry.Collaborate with the founding team in a fast‑paced startup environment.Design, develop, and implement Machine Learning (ML) and Large Language Model (LLM) pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring.Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes throughout the Large Language Model lifecycle.Establish and maintain comprehensive monitoring and alerting systems to track Large Language Model performance, detect data drift, and monitor key metrics, proactively addressing any issues.Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs against known, accurate data.Collaborate closely with Product and DevOps teams and Generative AI researchers to optimize model performance and resource utilization.Manage and maintain cloud infrastructure (e.g., AWS, Azure) for Large Language Model workloads, ensuring both cost‑efficiency and scalability.Stay updated with the latest developments in ML/LLM Ops, integrating these advancements into generative AI platforms and processes.Communicate effectively with both technical and non‑technical stakeholders, providing updates on Large Language Model performance and status.Required QualificationBachelor's or master's degree in computer science, Engineering, or a related field.Mid or Senior: 3+ years of experience as an ML/LLM engineer in public cloud platforms.Proven experience in MLOps, LLMOps, or related roles, with hands‑on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring.Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering.Expertise in model parallelism in model training and serving, and data parallelism/hyperparameter tuning.Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM.Expertise in generative AI applications and domains, including content creation, data augmentation, and style



  • Zaragoza, España MULTIVERSE COMPUTING A tiempo completo

    A pioneering quantum and AI technology company in Spain is seeking an experienced MLOps Engineer to deploy cutting-edge machine learning models to Fortune Global 500 clients. This role requires expertise in public cloud platforms and extensive knowledge of MLOps practices. The ideal candidate will have at least 3 years of relevant experience and a strong...

  • MLOps Engineer

    hace 2 semanas


    Zaragoza, España DeepRec.ai A tiempo completo

    A leading European deep-tech company is hiring an MLOps Engineer for a fixed-term contract ending in June 2026, with a hybrid working model based in Zaragoza or Barcelona. The role focuses on deploying large-scale ML systems for global enterprises. Applicants should have 3+ years of MLOps experience, a degree in a relevant field, and strong skills in Python,...

  • MLOps Engineer

    hace 6 días


    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...

  • MLOps Engineer

    hace 22 horas


    zaragoza, España DeepRec.ai A tiempo completo

    A leading European deep-tech company is hiring an MLOps Engineer based in Zaragoza or Barcelona with a hybrid working model. This role involves deploying and operating large-scale machine learning systems for global enterprise clients. The ideal candidate will have 3+ years experience in MLOps and a strong understanding of public cloud platforms. Benefits...

  • DevOps Engineer

    hace 1 semana


    Zaragoza, España DeepRec.ai 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). 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...

  • DevOps Engineer

    hace 5 días


    Zaragoza, España DeepRec.ai 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). 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...

  • DevOps Engineer

    hace 1 día


    Zaragoza, España DeepRec.ai 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). ¿Es este su próximo empleo? Descúbralo leyendo la descripción completa a continuación y no dude en enviar su candidatura. This opportunity is with a leading European deep-tech company operating at the intersection of AI...

  • DevOps Engineer

    hace 2 días


    Zaragoza, España DeepRec.ai 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). 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...

  • DevOps Engineer

    hace 2 días


    Zaragoza, España DeepRec.ai 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). ¿Es este su próximo empleo? Descúbralo leyendo la descripción completa a continuación y no dude en enviar su candidatura. This opportunity is with a leading European deep-tech company operating at the intersection of AI...

  • DevOps Engineer

    hace 1 día


    Zaragoza, España DeepRec.ai 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). 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...