Machine Learning Engineer, Analyst

Join MUFG, a leading global financial institution with 120,000 colleagues worldwide, as an Entry-Level Machine Learning Engineer in their Data Management Engineering team. This role offers an exciting opportunity to apply academic knowledge in a practical, fast-paced environment, working on transformative data initiatives. You'll be part of a team that defines and drives data strategy, developing and deploying machine learning models to solve real-world problems.

The position offers a competitive base salary range of $82K-$121K, along with performance-based bonuses and comprehensive benefits. Working in a hybrid model (4 days office/1 day remote) in Jersey City, NJ, you'll collaborate with data scientists, analysts, and software engineers to build production-ready ML solutions.

Key responsibilities include designing and validating ML models, data preprocessing, conducting experiments, and contributing to MLOps infrastructure. The ideal candidate should have a bachelor's degree in a relevant field, strong Python programming skills, and knowledge of machine learning concepts. This role provides an excellent opportunity for growth in AI/ML while working with a respected financial institution committed to innovation and sustainable growth.

MUFG's culture principles emphasize client-centricity, innovation, and inclusive collaboration, making it an ideal environment for someone starting their career in machine learning. The company offers extensive professional development opportunities and a supportive environment for learning and growth. Join a team that values diverse perspectives and is dedicated to making a meaningful impact through technological innovation in the financial sector.