DevOps Engineer

hace 5 días

Madrid, España Adyen A tiempo completo

DevOps Engineer - Generative AI Team

**This is Adyen**

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for amb

**Key responsibilities**:

- Collaborate with the team to design and build the infrastructure to host LLMs in-house while thinking about scale, performance and reliability.
- Own the deployment strategy of ML models for downstream tasks such as ticket routing (text classification), summarization, sentiment analysis, and question-answer retrieval.
- Automate the ML pipeline using MLOps tools and practices and optimize it for scalability and performance.
- 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.
- Stay up to date with the latest advancements in MLOps tools and practices.

**Qualifications**:

- 5+ years of professional experience as a DevOps Engineer, MLOps Engineer, ML Engineer, Data Engineer
- Strong software development skills, including: version control (e.g. Git and preferable on Gitlab), 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.
- Knowledge of data pipelines and ETL processes to prepare and manage data for ML training and inference. As well as model development and deployment frameworks.
- 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.
- Ability to diagnose and resolve model performance, scalability, and deployment issues.

**Desirable additional requirements**:

- Knowledge of ETL pipelines using PySpark and Airflow for data preprocessing and model training.
- Clear understanding of the end-to-end machine learning lifecycle
- Familiarity with infrastructure as code with tools like Terraform.
- Experienced with Open-source Machine Learning frameworks like Huggingface Transformers.
- General LLMOps experience is a plus, including model deployment, monitoring, resources, and infrastructure management, including GPU knowledge.

**Our Diversity, Equity and Inclusion commitments**

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen.

**What's next?**

This role is based out of our Madrid office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Job ID 5643375

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