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Advanced Data and Machine Learning Engineer

A global bank with a strong presence in Europe, serving around 38 million private and corporate clients in over 40 countries with over 60,000 employees.
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. As part of the Orchestrator program, you'll work on cutting-edge AI and ML solutions that drive ING's vision for a customer-centric, intelligent banking experience. You'll be part of a highly skilled team of data scientists, analysts, and machine learning/data engineers, working in an agile environment to achieve ING's goals on a global scale.

The role involves developing and maintaining ML models, optimizing data pipelines, and implementing robust solutions using modern technologies like Spark, Python, and cloud platforms. You'll work with state-of-the-art tools and technologies, including Docker, Kubernetes, and Azure DevOps, while contributing to ING's digital transformation.

This position offers the opportunity to work on impactful projects that blend technology and banking expertise, creating solutions that affect millions of customers worldwide. You'll be part of a forward-thinking organization that values innovation, collaboration, and continuous learning. The role provides exposure to both technical challenges and business domains, making it an excellent opportunity for someone passionate about applying ML solutions to real-world banking problems.

Working at ING means joining a community of innovators who are committed to having a positive impact on people and the planet. The company offers an environment where you'll have the autonomy to drive progress and help create value for customers while contributing to ING's sustainability goals. If you're looking to apply your ML expertise in a global financial institution that's at the forefront of technological innovation, this role presents an exciting opportunity for career growth and impact.

Last updated 5 days ago

Responsibilities For Advanced Data and Machine Learning Engineer

  • Develop and maintain 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
  • 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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