Taro Logo

Advanced Data and Machine Learning Engineer

Global bank with a strong European base serving around 38 million customers and corporate clients in over 40 countries.
Warsaw, PolandKatowice, Poland
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, a major global bank, is seeking an Advanced Data and Machine Learning Engineer to join their international team. This role combines cutting-edge machine learning engineering with practical banking applications. You'll be part of the Orchestrator program, working on AI-powered insights and personalization features that drive ING's vision for modern banking. The position offers the opportunity to work with a highly skilled team of data scientists, analysts, and engineers in an agile environment, contributing to projects with global impact. You'll be responsible for developing and maintaining ML models, optimizing data pipelines, and ensuring robust system performance. The role requires expertise in Python, Spark, and modern DevOps practices, with opportunities to work with cloud platforms like GCP and Azure. This position represents a unique opportunity to shape the future of banking technology while working for a company that values innovation and customer-centric solutions.

Last updated 19 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
  • 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 other 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

Interested in this job?

Jobs Related To ING Advanced Data and Machine Learning Engineer