Senior Data Science Lead, Adyen
hace 3 semanas
Company Overview
">At Adyen, everything we do is engineered for ambition. Our company 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.
">Our team's mission is to create a Generative AI platform at Adyen that supports various applications based on LLMs. This involves developing 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.
">We mainly use Open Source frameworks like HuggingFace and LangChain, and models like Llama or Mixtral. This work requires delivering on some of the most promising use cases across different areas within the company. Through use cases like support case routing and sentiment analysis, they showcase AI's adaptability across different domains within the organization, revolutionizing workflows and decision-making processes.
">Job Description
">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.
">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.
">Requirements
">To succeed in this role, you should have 5+ years of professional experience as a Machine Learning- or Data Scientist.
">This position is located in Madrid, Spain, and comes with a salary around €120,000 per year.
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