Machine Learning Engineer

ING Hubs Poland is hiring

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, debug existing machine learnings solutions,

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, Azure pipelines.

Your responsibilities :

develop and maintain a code base that produces ML models,

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, machine learning and data engineers (Center of Excellence Analytics Engineering at ING). You will be working in an agile environment helping ING to achieve its goals on a global scale. Your product squad is delivering modern credit engine solution, which provides scoring for B2B lending - they have appetite to grow and expand to deliver solution in multiple countries. You will have opportunity to grow and implement your analytics ideas

The role naming convention in the global ING job architecture will be "Engineer III"