Machine Learning Engineer - Intern

ING, a major international bank with over 60,000 employees serving 38 million customers across 40+ countries, is seeking a Machine Learning Engineer Intern to join their advanced analytics team. This role presents an exciting opportunity for students interested in writing their thesis while working on real-world applications of machine learning in banking.

The position involves working with a team that applies cutting-edge analytics, including machine learning, quantitative algorithms, and data mining techniques, to derive business insights and solve complex problems. The intern will specifically focus on developing a deep learning model for the mortgage portfolio, evaluating different approaches and comparing them with the current production model.

The ideal candidate should have at least 2 years of Python programming experience and be well-versed in machine learning frameworks. They will be involved in the entire lifecycle of ML projects, from initial design to final implementation, working with stakeholders across all areas of the bank, including business, risk, retail, and corporate banking.

This internship offers hands-on experience in building and maintaining ML codebases, training and deploying models, conducting data analyses, and developing data accessibility tools. The role combines technical expertise with business impact, making it perfect for someone looking to apply their machine learning knowledge in a financial services context.

The position requires strong technical skills, excellent communication abilities, and a self-driven attitude. Additional experience with Keras/TensorFlow, CI/CD pipelines, and DevOps practices would be advantageous. Join ING to help drive innovation in banking while developing your career in machine learning engineering.