ING, a leading global bank with over 60,000 employees serving 38 million customers worldwide, is seeking a Machine Learning Engineer intern to join their advanced analytics team. This role offers a unique opportunity to work on developing deep learning models for the bank's mortgage portfolio while being part of a team that applies cutting-edge machine learning and data mining techniques to solve real business problems.
The position involves working across various areas of the bank, including business, risk, retail, and corporate banking. You'll be responsible for building and maintaining ML model codebases, training and deploying models, conducting data analyses, and developing tools to enhance data accessibility. This role is perfect for students interested in writing their thesis on deep learning applications in banking.
The ideal candidate should have at least 2 years of Python programming experience, strong knowledge of machine learning frameworks, and solid understanding of OOP principles. Experience with deep learning frameworks like Keras/TensorFlow is a plus. You'll be working in a collaborative environment that values self-motivation, strong communication skills, and high ethical standards.
At ING, you'll be part of an organization that emphasizes empowerment and staying ahead of the curve, with a strong focus on sustainability. This internship offers an excellent opportunity to gain hands-on experience in applying machine learning solutions to real-world financial problems while contributing to a data-driven organizational culture.