Senior Machine Learning Engineer, Generative AI

hace 1 mes

Madrid, Madrid, España Adyen A tiempo completo
About the Role

We are seeking a highly skilled Senior Machine Learning Scientist to join our Generative AI team at Adyen. As a key member of our team, you will be responsible for building and interpreting algorithms that power data products using Generative AI or NLP techniques.

Key Responsibilities
  • Develop and train machine learning models using natural language processing techniques and large language models (LLMs)
  • Work on text classification, sentiment analysis, and summarization of question-answering retrieval
  • Provide technical guidance and mentorship to other data scientists
  • Collaborate with cross-functional teams to integrate LLM applications in different systems
  • Ensure efficient data preprocessing and ETL pipelines
  • Set up experiments to adjust modeling decisions and validate hypothesis selection
  • Report metrics and monitor performance
Requirements
  • 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 statistical modeling and Python development tooling and libraries
  • 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 and other components like VectorDBs and document loaders
  • Knowledge of version control systems, C/CD, RESTful APIs, containerized applications, and microservices deployed in Kubernetes
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 team of motivated individuals who tackle unique technical challenges at scale and solve them as a team.

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