Our team applies advanced analytics—including machine learning, quantitative algorithms, and data mining techniques—to deliver business insights and solve complex problems across the organization. We are actively involved throughout the entire lifecycle, from initial design to final implementation. Our stakeholders span all areas of the bank, including business, risk, retail, and corporate banking.
As a Machine Learning Engineer, you will be responsible for building and maintaining a robust, production codebase that supports the creation and implementation of ML models. You will train, deploy, and monitor machine learning models tailored to various business needs. Additionally, you will develop tools to enhance data accessibility and support a more data-driven organization.
Duration: Permanent
Location: Milan (hybrid)
ING offers many opportunities to build a diverse and rewarding career. You will be joining an international innovative digital bank, the first in Italy to adopt a fully flexible smart working model, and you will be working in a stimulating environment where you can grow both as an individual and as a professional.
Our purpose - empowering people to stay a step ahead in life and in business - represents our belief in people’s potential. We don’t judge, coach or to tell people how to live their lives. We empower people and businesses to realize their own vision for a better future.
#doyourthing is our brand direction with us each and every day. It is how we articulate our purpose and our promise to make banking frictionless to the world. ‘do your thing’ is about people being free to live the life they want to live, knowing that they will make their world a little better for it.
Do you think you are "a step ahead"? Apply now!
In addition to being a part of a great team, working in a fun and innovative environment, we offer:
Diversity is a fundamental element of our corporate culture, and we are fully committed to creating a safe and inclusive environment, based on mutual respect and the value of diversity, offering equal job opportunities to all qualified candidates.
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