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Advanced Data and Machine Learning Engineer

Global bank with a strong European base, serving around 38 million individual and corporate customers in over 40 countries.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Finance · AI

Description For Advanced Data and Machine Learning Engineer

ING Hubs Poland is seeking an Advanced Data and Machine Learning Engineer to join their international team of data scientists, analysts, and machine learning engineers. As part of the Orchestrator program, you'll work on developing and maintaining ML models that power ING's customer-centric banking experience on a global scale. The role involves working with cutting-edge technologies including Spark, Python, and cloud platforms, while being part of an agile environment that drives ING's global initiatives.

The position offers an opportunity to work on sophisticated machine learning solutions that directly impact banking operations and customer experience. You'll be responsible for building and optimizing data pipelines, deploying ML models, and ensuring robust system performance. The role requires expertise in both data engineering and machine learning, with hands-on experience in tools like Docker, Kubernetes, and CI/CD pipelines.

The Orchestrator program represents ING's commitment to creating an intelligent and globally aligned banking experience. You'll be working on projects that blend technology with customer empathy, focusing on personalization, AI-powered insights, and recommender engines. This role is perfect for someone who wants to make a significant impact in the financial technology sector while working with a diverse, highly skilled team.

Working at ING means joining a community of forward-thinking problem solvers who are committed to making a real impact. With over 60,000 employees serving approximately 38 million customers across 40+ countries, ING offers the stability of a major financial institution combined with the excitement of working on innovative technology solutions.

Last updated 6 days ago

Responsibilities For Advanced Data and Machine Learning Engineer

  • 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
  • Continuously optimize systems for performance and cost-effectiveness
  • Document technical specifications, procedures, and outcomes
  • Use Azure DevOps for CI/CD, task tracking, version control, and DevOps practices

Requirements For Advanced Data and Machine Learning Engineer

Python
Kubernetes
  • 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 learning solutions
  • Experience in deployment and provisioning automation tools (Docker, Kubernetes, CI/CD)
  • Problem-solving skills and ability to troubleshoot and optimize ML models

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