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ABN AMRO
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Machine Learning & Agentic AI Engineer

scikit-learnTensorFlowKerasPyTorchAzure Kubernetes ServiceMCPPythonPySparkKQSQLETLbig data systemsAgentic workflowsstatisticsmathematicsexperiment design
Work Type
-
Job Type
-
Location
Worldwide
Salary
EUR 5847–8353 / MONTH

About the Position

ABN AMRO is seeking a Machine Learning & Agentic AI Engineer to join the CISO Cyber Defence team. The role involves designing and implementing Agentic workflows, building and deploying machine learning models for cybersecurity, and working with large datasets. The team focuses on scaling detection and response capabilities using AI.

Responsibilities

  • Design and implement Agentic workflows that strengthen security controls and enhance automation.
  • Identify problems and opportunities within the Cyber Defence domain, using data science to address them.
  • Work closely with stakeholders to determine business value and guide them toward optimal solutions.
  • Build deep domain knowledge and perform extraction, transformation, and loading (ETL) of large, complex datasets to make them fit for purpose.
  • Apply state-of-the-art statistical and data science techniques, balancing simplicity and sophistication where appropriate.
  • Evaluate and deploy machine learning models effectively in production environments.
  • Communicate results and insights clearly to stakeholders, fostering cooperation and alignment.
  • Educate end-users to maximize the value of implemented solutions.
  • Assist and mentor junior team members, providing guidance in their daily activities.
  • Actively contribute to team learning by hosting or initiating knowledge-sharing sessions to improve overall team efficiency and expertise.

Requirements

  • A quantitative MSc, PhD, or equivalent experience.
  • A minimum of 3+ years of work experience in data science or machine learning.
  • Proficiency in Machine Learning algorithms (e.g., Scikit-learn, TensorFlow, Keras, PyTorch).
  • Strong expertise in techniques like AKS and MCP.
  • Strong programming skills in Python, PySpark, KQ, and SQL.
  • Expertise in statistics, mathematics, and experiment design.
  • Proficiency in implementing Agentic workflows.
  • Proficiency in ETL processes and working with big data systems.
  • Strong consultancy skills to identify and address real problems.
  • Ability to mentor and coach junior team members.
  • Creativity and collaboration skills, team player.
  • Comfortable working on multiple concurrent projects while managing priorities.

Benefits

  • An attractive gross monthly salary based on a 36-hour work week, including holiday allowance and a flexible benefit budget.
  • An excellent pension scheme.
  • Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.
  • Five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.
  • Five “Banking for better days”: extra days off that you can use for personal development or volunteer work.
  • A development budget of €1,000 per year, which can accumulate up to €3,000.
  • An annual public transport pass with free public transportation throughout the Netherlands for both business and private use.
Machine Learning & Agentic AI EngineerEUR 5847–8353 / MONTH
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