ING, a leading global bank with a strong European foundation, 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 mortgage portfolio while being part of a team that applies cutting-edge analytics techniques across all areas of the bank.
The position involves working with machine learning, quantitative algorithms, and data mining techniques to obtain business insights and solve real-world banking problems. You'll be involved in the entire lifecycle of ML projects, from initial design to final implementation, working with stakeholders across business, risk, retail, and corporate banking sectors.
As an intern, you'll focus specifically on evaluating different approaches for deep learning models and comparing them with current production models. This position is perfect for students interested in writing their thesis on this topic while gaining hands-on experience in a global banking environment.
The ideal candidate should have at least 2 years of Python programming experience, strong knowledge of machine learning frameworks, and solid understanding of object-oriented programming. Additional experience with Keras/TensorFlow and DevOps practices would be advantageous.
At ING, you'll join a community of over 60,000 colleagues serving 38 million customers worldwide. The bank emphasizes empowerment, innovation, and sustainability, making it an ideal environment for growing your career while making a positive impact on people and the planet.