EY is looking to enhance the operational efficiency of tax functions and the delivery of technical services, supported by a team of over 1,200 professionals, and revolutionize tax and finance operations through strategy development, digitalization, and leveraging technology to automate compliance, reporting, and provide valuable insights to clients.
Requirements
- Strong academic and / or professional record building, fine-tuning, and prompting machine learning and generative AI models.
- Excellent Python skills.
- An understanding of common data management tools and principles.
- Experience working with Microsoft Azure AI stack
- Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.
Responsibilities
- Assuming full responsibility for designated tasks and ensuring their follow-through to the end.
- Building, deploying, prompting, and fine-tuning AI models of different sizes, from small, local machine learning models to some of the largest LLMs available commercially
- Exploring opportunities to streamline repetitive processes through AI automation with current and new tech solutions.
- Providing project support to team members to guarantee the punctual delivery of project outcomes.
- Investigating cutting-edge technologies like AI and machine learning to develop relevant business cases for their implementation.
Other
- A predicted undergraduate or graduate degree in Computer Science, Data Science, Engineering, Economics, Management Information Systems, or other related majors; supported by a strong academic record.
- Excellent communication and business-writing skills.
- A natural passion for problem solving, and an entrepreneurial approach to work.
- Strong organizational and time management skills, with the confidence to prioritize your workload within tight deadlines.
- The ability and willingness to travel and work in excess of standard hours when necessary.
