Digital- GEN AI- Senior

Role Overview: At EY, you will have the opportunity to build a career tailored to your uniqueness, with the necessary global support, inclusive culture, and technology to help you become the best version of yourself. Your individual voice and perspective are highly valued to contribute to making EY even better. By joining EY, you will craft an exceptional experience for yourself and contribute to creating a better working world for all. Key Responsibilities: - Convert business problems into analytical problems and develop solution approaches. - Clean, aggregate, analyze, and interpret data to extract valuable business insights. - Lead the AI/ML implementation process, including model design, feature planning, testing, production setup, monitoring, and release management. - Collaborate closely with Solution Architects to deploy AI POCs and scale up to production-level applications. - Utilize Python for data extraction techniques from complex documents like PDFs, Word Docs, and Forms. Qualifications Required: - Bachelor's or Master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or related field with a focus on modern data architectures. - Strong proficiency in Python with excellent coding skills. - 4+ years of experience in core data science areas such as Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL Databases, and API Deployment. - Additional skills include excellent communication skills, project management experience, proficiency in firms reporting tools, proactive nature, ability to analyze complex problems, and gather/analyze data from various sources. Company Details: EY is dedicated to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. With diverse teams in over 150 countries, EY provides assurance and assists clients in growth, transformation, and operations across various sectors. Working at EY offers support, coaching, opportunities for skills development, career progression, and a flexible work environment to ensure personal growth and success.,