Senior Data Scientist, Gen AI
hace 4 semanas
About Adyen
Adyen is a financial technology platform that provides payments, data, and financial products to customers like Meta, Uber, H&M, and Microsoft. We are a company that is engineered for ambition, with a culture that supports our people to succeed.
About Gen AI
Our team's mission is to create a Generative AI platform at Adyen that supports various applications based on LLMs. We develop platform-oriented components for deploying an LLM backend within Adyen's GPU cluster in Kubernetes, with features like monitoring, access control, rate limiting, prompt debugging, and experiment tracking.
Job Description
We are looking for a Senior Data Scientist to join our Gen AI team. As a Senior Data Scientist, you will be responsible for building and interpreting algorithms that power data products at Adyen using Generative AI or NLP techniques. This includes leading end-to-end development from prompt engineering, few-shot learning, and fine-tuning self-hosted LLMs if needed.
Responsibilities
- 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.
Requirements
- You have 5+ years of professional experience as a 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.
About Data Positions at Adyen
We know companies handle different definitions for their data-related positions; this is for instance dependent on the size of a company. Since the birth of the Data Solution and the growth of all data streams, we categorized and defined all our positions. Have a look at this to find out
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.
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