🇪🇸 Senior Machine Learning Scientist, Gen AI Full time

You will be responsible for building and interpreting algorithms that power data products at Adyen using Generative AI or NLP techniques. That means leading end-to-end development from prompt engineering, few-shot learning, and fine-tuning self-hosted LLMs if needed. You will work on Natural Language Processing techniques and LLMs to tackle text classification, sentiment analysis, and summarization of Question-Answering retrieval.

- Provide technical guidance and mentorship to other data scientists specialized in different domains.
- Collaborate with cross-functional teams across Adyen to integrate LLM applications in different systems.
- Ensure efficient data preprocessing and ETL pipelines to create features that feed machine learning algorithms during training.
- Set up experiments to adjust modeling decisions, perform exploratory analysis, tune hyperparameters, or validate hypothesis selection for the right metric set for each business problem. Report metrics and monitor performance to keep stakeholders updated and ensure a smooth model deployment in production.
- Iterate with merchants and product audiences, creating algorithms that power state-of-the-art machine learning-based solutions, and be able to explain the reasons behind the executed inference.

- You have 5+ years of professional experience as a Machine Learning- or Data Scientist.
- Proven experience developing, training, validating, benchmarking, and monitoring machine learning algorithms, particularly in the natural language processing domain
- Extensive knowledge of machine learning algorithms, including a deep understanding of statistical modeling and Python development tooling and libraries: Pandas, Numpy, Scikit-learn, Pytest, PySpark, SQL, Airflow, and MLflow. Strong experience with machine learning frameworks such as Pytorch and HuggingFace Transformers.
- Familiarity with prompt engineering techniques and frameworks like LangChain, LlamaIndex, or DSpy. Good understanding of LLM models, including other components like VectorDBs and document loaders.
- Knowledge of version control systems (e.g., Git), C/CD, RESTful APIs, containerized applications (Docker), and microservices deployed in Kubernetes. Adherence to coding best practices, including code reusability, documentation, and testing.
- You are an analytical thinker with a knack for understanding operational requirements and converting them into actionable ML solutions.
- Proactively taking the lead in projects, from ideation to deployment, while ensuring stakeholder collaboration.
- You can communicate complex outcomes with clarity over a wide range of audiences.
- We appreciate a forward-thinking mindset driven by experimentation and iterative development. A solid foundation in statistics and mathematics will serve you well in this role.

TBD