MLOps Engineer - Zaragoza, Aragon
hace 21 horas
Job summary
We are looking to fill this role immediately and are reviewing applications daily.Expect a fast transparent process with quick feedback.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.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) pipelines encompassing data acquisition preprocessing model training tuning deployment monitoring employ automation tools such as GitOps CI/CD pipelines containerization technologies Docker Kubernetes to enhance ML/LLM processes throughout the Large Language Model lifecycle establish maintain comprehensive monitoring alerting systems to track Large Language Model performance detect data drift monitor key metrics proactively addressing any issues conduct truth analysis to evaluate accuracy effectiveness of Large Language Model outputs against known accurate data collaborate closely with Product DevOps teams Generative AI researchers optimize model performance resource utilization manage maintain cloud infrastructure e.g AWS Azure for Large Language Model workloads ensuring cost-efficiency scalability stay updated latest developments in ML/LLMOps integrating these advancements into generative AI platforms processes communicate effectively technical non-technical stakeholders providing updates on Large Language Model performance status.
Descripción del trabajo
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