- Collaborate on infrastructure design for hosting LLMs with focus on scalability and reliability
- Own ML model deployment strategy for tasks like text classification and sentiment analysis
- Automate ML pipeline using MLOps tools for scalability and performance
- Containerize applications, manage Kubernetes deployments, and oversee LLM infrastructure
- Develop observability best practices and monitor LLM behavior under real conditions
- Implement APIs and frameworks for seamless LLM integration in various services
- Stay updated on latest MLOps advancements
- 5+ years' experience in DevOps/MLOps/ML/Data Engineering
- Strong skills in Python, Airflow, Docker, Kubernetes, and more
- Proficient in observability tools like Prometheus and Grafana
- Knowledge of ETL processes, DevOps best practices, and CI/CD concepts
- Experience in monitoring, logging, error tracking for ML models
- Understanding of machine learning lifecycle and open-source ML frameworks
- Experience with Helm, Kustomize, Terraform, and other tools
- General LLMOps experience is a plus
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MLOps / DevOps Engineer - Generative AI Team - Madrid, España - Adyen
Descripción
Data Analytics in Madrid
Seeking MLOps or DevOps Engineer for Generative AI Team
Adyen, a leader in providing payments, data, and financial solutions for top companies like Meta and Uber, is looking for a skilled engineer to join the Generative AI team in Madrid. The team's goal is to develop a Generative AI platform to empower various applications with Large Language Models (LLMs), enhancing operational efficiency and decision-making processes through use cases like sentiment analysis and support case routing.
Key Responsibilities:
Qualifications:
Join Our Diverse Team at Adyen
At Adyen, we value diversity and inclusion in our work environment. We encourage individuals from all backgrounds to apply and bring their unique perspectives to our team.
What's Next?
If you're a problem-solver looking to tackle unique challenges in the financial technology space, consider joining us at Adyen. Our Madrid-based team is waiting for you!
