Data Scientist - GraphRAG

LEVY PROFESSIONALS
Utrecht, Netherlands
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure DevOps Graph Database Python (Programming Language) Machine Learning Object-Oriented Software Development Software Engineering Unstructured Data Large Language Models Git Pyspark
+3 more
Information Technology Machine Learning Operations Databricks

Job description

  • Design, develop and optimise GraphRAG solutions using large-scale structured and unstructured datasets.
  • Transform experimental notebooks and AI prototypes into clean, maintainable, and production-ready software.
  • Build reusable software components and engineering frameworks that can be leveraged across multiple teams.
  • Optimise code for performance, scalability, and reliability while contributing to enterprise AI initiatives.
  • Mentor colleagues, share engineering best practices, and contribute to a culture of technical excellence.

Requirements

Are you passionate about building intelligent, production-ready AI solutions that solve complex real-world problems? We’re looking for a Data Scientist with a strong software engineering mindset who enjoys transforming innovative ideas into scalable applications. You’ll work with cutting-edge GraphRAG technology, Large Language Models (LLMs), and graph-based analytics to help deliver impactful AI solutions within a highly collaborative environment., * Bachelor’s or Master’s degree in Data Science, Applied Mathematics, Computer Science, IT, or a related discipline.

  • 5+ years of experience as a Data Scientist with a strong focus on software engineering and production-grade development.
  • Strong expertise in Python, object-oriented programming, Git, Databricks, PySpark, and Microsoft Azure.
  • Solid understanding of statistical modelling, machine learning, and experience building reusable, scalable software solutions.
  • Experience with GraphRAG, Knowledge Graphs, semantics, ontologies, or MLOps/DevOps is highly desirable.

Apply for this position

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