Machine Learning Engineer

**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 ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Adyen seeks a Machine Learning Engineer to join our Operations AI team in Madrid. The team focuses on enhancing operations efficiency and improving customer experience through AI automation. We specialize in the technology related to large language models (LLMs) for downstream tasks using Open Source software like HuggingFace or Langchain, and models such as Falcon, Llama or Dolly as well as OpenAI or other proprietary LLMs.

**Key responsibilities**:

- Collaborate with the team to build and deploy LLMs for downstream tasks such as ticket routing (text classification), sentiment analysis, and question-answer retrieval, mainly utilizing Open Source technology and libraries.
- Develop and manage ETL pipelines using PySpark and Airflow for data preprocessing and model training. Organize the orchestration of pipelines for ETL and machine learning training to streamline model development.
- Stay updated with the latest LLM research and advancements to enhance model efficiency.
- Collaborate with stakeholders to validate hypotheses and design technical solutions, specially when LLMs or other machine learning models are aplicable.
- Ensure secure and compliant model deployment adhering to data privacy regulations.
- Stay up to date with the latest advancements in MLOps tools and practices.

**Qualifications**:

- 5+ years of professional experience as a Data Scientist or MLOps Engineer. An expert in building and deploying machine learning models.
- 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 and SQL. Knowledge of PySpark, Airflow, MLflow, Docker, Kubernetes, and Open Source Python libraries for Data Science and Machine Learning: Pandas, Scikit-learn, Tensorflow/Pytorch, HuggingFace's Transformers, etc.
- Knowledge of data pipelines and ETL processes to prepare and manage data for ML training and inference.
- Experience with DevOps practices and tools to automate software development and deployment processes. Familiarity with CI/CD pipelines.
- Ability to diagnose and resolve model performance, scalability, and deployment issues.
- Proficiency or previous experience using OpenAI API (GPT-3.5 or GPT-4) or other cloud-based LLMs is highly valued.
- General LLMOps experience is a strong plus, including model deployment, monitoring, resources, and infrastructure management.

**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.