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.