Introduction

What are you going to do 

Do you want to build AI solutions that directly improve automated warehouse operations worldwide? As a Data Scientist / AI Engineer, you will develop and deploy innovative AI applications using Generative AI, Agentic AI, Machine Learning, and predictive analytics. You will work on real-life operational challenges, transforming data into intelligent solutions that drive efficiency, reliability, and business value.

  • Develop and deploy AI and Machine Learning solutions for operational and maintenance processes.
  • Build Generative AI and Agentic AI applications using Large Language Models (LLMs), APIs, and operational data.
  • Design predictive models and decision-support tools that improve operational performance.
  • Develop Retrieval-Augmented Generation (RAG) solutions and AI assistants.
  • Collaborate with data scientists, software engineers, architects, and business stakeholders.
  • Deploy and maintain production-ready AI solutions using Azure, Databricks, MLOps, and CI/CD best practices.
  • Translate complex analytical outcomes into actionable business recommendations.

Essential skills and knowledge 

You are an innovative and hands-on AI professional who enjoys solving complex business challenges through data and technology. You combine strong analytical skills with a pragmatic mindset and communicate effectively with both technical and non-technical stakeholders.

Additionally, you have:

  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3+ years of experience as a Data Scientist, AI Engineer, Machine Learning Engineer, or similar role.
  • Strong experience with Python, PySpark, Pandas, Scikit-Learn, and TensorFlow.
  • Experience with Azure, Databricks, and MLOps.
  • Hands-on experience with Generative AI, Agentic AI, LLMs, and RAG solutions.
  • Experience with AI frameworks such as LangChain or similar technologies.
  • Experience with API development, CI/CD pipelines, and software engineering best practices.
  • Strong communication skills and fluency in English.
  • Experience with Predictive Maintenance.
  • Knowledge of Kafka, knowledge graphs, or time-series data.
  • Experience with Kubernetes, Azure AI Services, or industrial environments.

What we offer 

  • Gross monthly salary of €5,000 to €6,000 depending on experience.
  • Performance-related bonus opportunities.
  • Hybrid working environment.
  • Travel allowance.
  • Laptop and mobile phone.
  • 26 vacation days with the option to purchase additional days.
  • Learning, training, and certification opportunities.
  • Competitive pension scheme.
  • Collective health insurance.
  • Discounts on sports memberships and wellbeing programs.

Brunel connects highly skilled professionals with leading organizations worldwide. We offer challenging projects, excellent career opportunities, and continuous development through training, coaching, and certification programs. As a Brunel employee, you will work on innovative assignments while building a successful long-term career