Machine Learning Engineer - Recommendation Engine

We are looking for you if, you have:

• Very good knowledge of Spark and Python,

• Good understanding of ML models deployment and consumption patterns,

• Ability to refactor, maintain, debug existing machine learnings solutions,

• Ability to maintain and improve templates for productionizing ML solutions,

• Experience in building containerized components,

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

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

• Great communication skills and a team player.

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.