Senior Machine Learning Engineer (w/m/d)

With over 9 million customers, ING is the third largest private customer bank in Germany. Whoever works at ING doesn't just do a job. Working with us is the chance to change something. How you doing? By touching the lives of millions of people as a global bank and aiming to have a positive influence on society and our planet. And by staying human, close and personal thanks to our start-up mentality – as unbanky bank.

Senior Machine Learning Engineer (w/m/d) at Frankfurt

Your motto is “summer one step ahead” and your heart beats for innovative technologies? In the agile teamwork, do you like to take responsibility and want to advance projects with your technical-analytical expertise? And all this is best in a company that supports its employees not only during work but also in many situations of life around it? Perfect! In our team, your place is free – simply apply with your CV!

In various projects, from automated credit decisions in Instant Lending to modeling solutions for Fraud Detection, you actively shape the future of data-driven products. Specifically, you select required data from their source sources and systems, extract them and prepare everything for uploading to our Data Analytics Platform. In the development of powerful models, you bring your experience and help find efficient solutions for large and complex data volumes. You unravel sustainable deployment architectures and ensure technical feasibility. And of course, you will eventually bring the model into production, in which the deployment architecture is naturally implemented, the required pipelines are built up and MLOps components are implemented.

Completed studies with a focus on (economic) informatics or comparable training (e.g. specialist informatics) At least 5 years of professional experience, ideally in the financial environment Very good knowledge of Oracle SQL and Python Fit in DWH architectures and technologies Experience with Machine Learning Operations (MLOps) and deployment of ML models Understanding ML implementation platforms Experience in agile development methods and version control (Azure DevOps-Pipelines, Git) Joy of agile teamwork in hybrid work models (on-site & remote) and enthusiasm for process optimization as well as innovative data-driven solutions Ability to think beyond your own horizon and develop sustainable solutions Very good communication skills in German and English

Operating pensions, asset-effective services, free Deutschlandticket & Bike LeasING, operating restaurant Hybrid work model: In addition to work in the office, you can also work on the mobile – as part of operational, legal and regulatory requirements. Individual working time models, Sabbatical, support for care & childcare costs Own budgets for personal development and health plus personal equipment budget for your mobile workplace JOBV1_EN