Perform end-to-end accounts payable (AP) processing, including invoice verification, three-way matching (PO–DO/GRN–Invoice), and timely posting in the accounting system.
Coordinate the intake of new or materially changed AI systems and confirm that each has a clear business owner, technical contact and accountable risk owner.
Own and manage the day-to-day operation of the Databricks Lakehouse Platform and MLOps services, ensuring high availability, performance, security, and user satisfaction.
To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students' assignment requirements.
Deploy, integrate, and maintain off-the-shelf AI tools and LLMs within the bank's engineering and business platforms, including GitHub, Jira, and Confluence.
Deploy, integrate, and maintain off-the-shelf AI tools and LLMs within the bank's engineering and business platforms, including GitHub, Jira, and Confluence.
Deploy, integrate, and maintain off-the-shelf AI tools and LLMs within the bank's engineering and business platforms, including GitHub, Jira, and Confluence.
Concept Development: Work with cross-functional teams to generate ideas and produce visual concepts that satisfy client requirements and project objectives.
Work closely with internal stakeholders to understand operational challenges, identify opportunities for AI adoption, and propose practical AI-driven solutions to improve business efficiency.