Citigroup - Tampa, FL
posted 4 months ago
The ML Engineer is a strategic professional who plays a crucial role in the development and implementation of machine learning solutions within the organization. This position requires staying updated with the latest advancements in the field and contributing to the overall strategy by applying these developments to the job and the business. The ML Engineer is recognized as a technical authority in their area, necessitating a basic understanding of commercial aspects. The role involves significant interaction with colleagues across various departments and occasionally with external customers, requiring strong communication and diplomacy skills to guide and influence others effectively. The work performed by the ML Engineer has a substantial impact on the business area, affecting the overall performance and effectiveness of the sub-function or job family. In this role, the ML Engineer will conduct strategic data analysis, identify insights, and make recommendations based on complex data sets. They will mine and analyze data from various banking platforms to optimize processes and improve data quality. The engineer will be responsible for delivering analytics initiatives that address business problems, determining the necessary data, assessing the time and effort required, and establishing a project plan. Consulting with business clients to identify system functional specifications is also a key responsibility, as is solving complex system issues through in-depth evaluations of business processes and industry standards. The ML Engineer will lead the system change process from requirements gathering through implementation, providing user and operational support to business users. They will formulate and define the systems' scope and goals for complex projects, ensuring that the quality of work meets business objectives. Additionally, the engineer will consider the business implications of technology applications, identify risks, and communicate these effectively. They will also be tasked with developing strategies to reduce costs, manage risks, and enhance services, while ensuring compliance with applicable laws and regulations. Overall, the ML Engineer will play a pivotal role in driving the success of technology solutions that meet business requirements.