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, debug existing machine learnings 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, BigQuery, GCS), Azure pipelines.

Your responsibilities:

develop and maintain a code base that produces ML models for different business units,

refactor, 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 DevOps for CI/CD, task tracking, version control, and other DevOps practices.

Information about team:

You will be part of an international highly skilled team of data scientists, analyst, 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”.