DevOps Engineer for Generative AI

hace 3 días

Madrid, Madrid, España Greenhouse - Ats A tiempo completo
Adyen is seeking a DevOps Engineer for our Generative AI team in Madrid

We are looking for a skilled DevOps Engineer to join our Generative AI team in Madrid. As a DevOps Engineer, you will play a key role in designing and building the infrastructure to host Large Language Models (LLMs) in-house, ensuring scale, performance, and reliability.

Key Responsibilities:
  • Collaborate with the team to design and build the infrastructure to host LLMs in-house.
  • Own the deployment strategy of ML models for downstream tasks such as ticket routing, summarization, sentiment analysis, and question-answer retrieval.
  • Automate the ML pipeline using MLOps tools and practices and optimize it for scalability and performance.
  • Containerize applications and manage the Kubernetes deployments as well as the infrastructure needed to deploy LLMs internally.
  • Develop observability best practices for the whole LLM infrastructure and build the internal framework which allows the team to monitor the LLM behavior to ensure their robustness under real life conditions.
  • Design and implement APIs, services or frameworks to facilitate the seamless integration and usage of LLMs within various applications and services.
Qualifications:
  • 5+ years of professional experience as a DevOps Engineer, MLOps Engineer, ML Engineer, Data Engineer.
  • Strong software development skills, including version control, coding best practices, debugging, unit and integration testing.
  • Proficient in Python, Airflow, MLflow, Docker, Kubernetes and ArgoCD.
  • Proficiency with observability tools, such as Prometheus, Logsearch, Kibana and Grafana.
  • Solid understanding of DevOps best practices and tools to automate software development and deployment processes, and CI/CD concepts and experience in implementing these practices.
What We Offer:

We offer a dynamic and challenging work environment, with opportunities for growth and development. If you are passionate about AI and DevOps, and have a strong desire to work with a talented team, we encourage you to apply.

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