Job Description
MLOps Engineer - Barcelona - 3 days onsite -Fixed Term Permanent Role
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.
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 optimise model performance and resource utilisation.
Manage and maintain cloud infrastructure (e.g., AWS, Azure) fo...
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.
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 optimise model performance and resource utilisation.
Manage and maintain cloud infrastructure (e.g., AWS, Azure) fo...
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