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Senior Machine Learning Engineer

A global bank with a strong European base, serving around 38 million customers and corporate clients in over 40 countries with more than 60,000 employees.
Frankfurt, Germany90 Nuremberg, Germany
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Finance · AI
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Job Description

ING, a major global bank with over 60,000 employees, is seeking a Senior Machine Learning Engineer to join their innovative team. This role combines cutting-edge ML technology with practical financial applications, focusing on projects from automated credit decisions to fraud detection. The position offers a unique opportunity to work with large-scale data systems while implementing MLOps practices in a financial context.

The ideal candidate will be responsible for the full ML lifecycle - from data extraction and preparation to model deployment and maintenance. You'll work with modern technologies including Python, SQL, and Azure DevOps, while implementing MLOps best practices in a hybrid working environment that combines office and remote work.

This role stands out for its combination of technical depth and business impact, offering the chance to work on projects that directly affect millions of customers. ING provides an excellent benefits package including comprehensive healthcare, development budgets, and flexible working arrangements. The company culture emphasizes innovation, sustainability, and work-life balance, making it an attractive opportunity for experienced ML engineers looking to make an impact in the financial sector.

The position offers significant growth potential within a global organization that's committed to staying at the forefront of financial technology. You'll be part of a collaborative team that values diverse perspectives and innovative thinking, while working on projects that combine technical excellence with real-world financial applications.

Last updated 3 months ago

Responsibilities For Senior Machine Learning Engineer

  • Design and develop data-driven products from automated credit decisions to fraud detection modeling solutions
  • Select, extract, and prepare data from source systems for upload to Data Analytics Platform
  • Develop high-performance models for large and complex datasets
  • Design deployment architectures and ensure technical feasibility
  • Implement deployment architecture, build pipelines, and implement MLOps components

Requirements For Senior Machine Learning Engineer

Python
  • Degree in Computer Science/Business Informatics or comparable training
  • Minimum 5 years of professional experience, ideally in financial sector
  • Strong knowledge of Oracle SQL and Python
  • Experience with DWH architectures and technologies
  • Experience with Machine Learning Operations (MLOps) and ML model deployment
  • Understanding of ML implementation platforms
  • Experience with agile development methods and version control (Azure DevOps-Pipelines, Git)
  • Strong communication skills in German and English
  • Ability to think beyond conventional boundaries and develop sustainable solutions

Benefits For Senior Machine Learning Engineer

401k
Medical Insurance
  • Company pension plan
  • Capital-forming benefits
  • Free Germany-wide public transport ticket
  • Bike leasing option
  • Company restaurant
  • Flexible working hours
  • Sabbatical option
  • Childcare and nursing care cost subsidies
  • Personal development budget
  • Health budget
  • Mobile workplace equipment budget