We are looking for you if you have:

• Very good knowledge of Spark and Python.

• Hands-on experience building complex data pipelines.

• Good understanding of ML models deployment and consumption patterns.

• Ability to refactor, maintain, and debug existing machine learning solutions.

• Experience in deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD).

• Problem-solving skills, being able to troubleshoot and optimize ML models.

You'll get extra points for:

• Interest in banking and banking products.

• Experience working in international, cross-functional teams.

• Knowledge in Airflow, GCP (Dataproc, Big Query, GCS), Azure pipelines.

Your responsibilities:

• Develop and maintain a code base that produces ML models for different business units.

• Refactor and simplify complexity continuously (e.g., batch to stream processing).

• Improve data flow, establish new data sources, and deployment.

• Troubleshoot data issues, providing robust solutions to ensure optimal performance and reliability.

• Continuously optimize our systems for performance and cost-effectiveness.

• Document technical specifications, procedures, and outcomes.

• Use Azure Dev Ops for CI/CD, task tracking, version control, and other Dev Ops practices.

Information about the team:

You will be part of an international, highly skilled team of data scientists, analysts, and machine learning/data engineers. You will be working in an agile environment helping ING to achieve its goals on a global scale. The Orchestrator program at ING is more than just a technological marvel - it's a manifestation of ING's vision for a customer-centric, intelligent, and globally aligned banking experience. Whether it's the personalization that customers experience, the AI-powered insights that drive decisions, the global reach of the program, or the innovative utilization of recommender engines, the Orchestrator stands as a symbol of what modern banking can be. It represents a blend of technology and empathy, efficiency and engagement, and above all, a relentless pursuit of excellence that echoes ING's core values and aspirations.

The role naming convention in the global ING job architecture will be “Engineer IV”.