The Machine Learning Engineer (MLE) - Manager role at EY focuses on delivering AI and data services within the Financial Services Organization. The position involves working with diverse teams to solve complex challenges in the financial services industry. The candidate will have opportunities for growth and continuous learning while contributing to innovative solutions. This role emphasizes collaboration, communication, and technical expertise in machine learning and data analysis.

• A bachelor's or master’s degree in computer science, information systems, or related technology majors.
• Minimum of 5 years of related work experience in AI/ML engineering or MLE/ML Ops.
• Proficiency in Python programming and associated machine learning libraries/packages.
• Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong deep learning experience, particularly in applications of Neural Network architectures.

• Collaborate with diverse teams of professionals to deliver a wide range of AI and data services.
• Lead and manage multi-disciplinary teams through a product life cycle including requirements, design, development, and testing.
• Design, build, and maintain production-grade ML and DL models and machine learning workflows.
• Help clients make data-driven decisions by working with structured and unstructured data sets.
• Design and develop solutions leveraging big data technology to analyze large, disparate data sets.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.