ING, a leading global bank with over 60,000 employees serving 38 million clients 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 gaining hands-on experience in developing deep learning models for the bank's mortgage portfolio.
The position sits within 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 team works across all areas of the bank, including business, risk, retail, and corporate banking, and is involved in the entire project lifecycle from initial design to final implementation.
As a Machine Learning Engineer intern, you'll be responsible for developing and evaluating different deep learning approaches and comparing them with current production models. You'll work on building and maintaining ML model codebases, conducting data analyses, and creating tools to support data-driven decision-making.
The ideal candidate should have at least 2 years of Python programming experience and be well-versed in machine learning frameworks. Knowledge of deep learning tools like Keras/TensorFlow is a plus. You'll need strong analytical skills, excellent communication abilities, and a self-driven attitude.
This internship offers a unique opportunity to work with advanced technologies in a financial context, gain practical experience in machine learning applications, and contribute to meaningful projects while completing your thesis. You'll be part of a collaborative environment that values innovation, ethical standards, and professional growth.