Digital Manager

Job Summary

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.

Position Name EY- Assurance - Manager - Digital

Position Level Manager

Employment Type Permanent

Position Details

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 problem into analytical problem 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 POC s and scaling up to production level applications.
• Should have solid background in Python and has deployed on open-source models-
• Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison.

Key Requirements/Skills Qualification

• Excellent academic background, including at a minimum a bachelor or a master s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with 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 one or more below areas:
• Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering)
• Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents etc.
• Retriever augmented generation and prompt engineering.
• Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets.
• Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models)
• Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis.
• Computer Vision- Image Classification, Object Detection, Tracking etc.
• SQL/NoSQL Databases and its manipulation components
• Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes.

Additional skills requirements

• Excellent written, oral, presentation and facilitation skills
• Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization,
• organization, flexibility, and self-discipline.
• Must have demonstrated project management experience.
• Knowledge of firm s reporting tools and processes.
• Proactive, organized, and self-sufficient with ability to priorities and multitask.
• Analyses complex or unusual problems and can deliver insightful and pragmatic solutions.
• Ability to quickly and easily create/ gather/ analyze data from a variety of sources.
• A robust and resilient disposition able to encourage discipline in team behaviors

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 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.