Job
Description
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high-growth & impactful products. You will be helping EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI-based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. **Responsibilities:** - 10-12 years of experience in Data Science - Convert business problems into analytical problems and devise a solution approach. - Clean, aggregate, analyze, and interpret the data to derive business insights from it. - Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. - Work closely with the Solution Architects in deployment of the AI POCs and scaling up to production-level applications. - Should have a solid background in Python and have deployed open-source models. - Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. **Key Requirements/Skills & Qualifications:** - Excellent academic background, including at a minimum a bachelor's or a master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with a strong focus on modern data architectures, processes, and environments. - Solid background in Python with excellent coding skills. - 6+ years of core data science experience in Machine Learning, Large Language Models, Retriever augmented generation, prompt engineering, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL Databases, API Deployment, and webapps creation. - Additional skills requirements include excellent written, oral, presentation and facilitation skills, project management experience, knowledge of firms reporting tools and processes, proactive, organized, and self-sufficient with the ability to prioritize and multitask. **What We Look For:** - A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. - An opportunity to be a part of a market-leading, multi-disciplinary team of 7200+ professionals, in the only integrated global assurance business worldwide. - Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries. **What Working at EY Offers:** At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer support, coaching, and feedback from some of the most engaging colleagues around, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that's right for you. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers to the complex issues facing our world today.,
