AI Strategy & Design - Healthcare Sector - Manager - Consulting -...
Ernst & Young Advisory Services Sdn Bhd - Charlotte, North Carolina, United States, 28269![Ernst & Young Advisory Services Sdn Bhd](/api/image?src=https%3A%2F%2Fgeneral-board-default.s3.us-east-2.amazonaws.com%2Fpublic%2Fimages%2Fdesk-360x180.webp&w=640&q=75&f=webp)
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Overview
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.Other locations: Anywhere in CountryDate: Jul 26, 2024Requisition ID: 1525581At 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. Join us and build an exceptional experience for yourself, and a better working world for all.The opportunityOur Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. You’ll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.Your key responsibilitiesYou will work with a wide variety of clients to deliver the latest data science and big data technologies including Generative AI / LLM capabilities. Your teams will design and build scalable solutions for healthcare clients that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We’ll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. Many on our team have advanced academic degrees or equivalent experience in industry.Skills and attributes for successThis role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge.To qualify for the role you must haveBachelor’s degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning2-4 years of experience directly managing technical teamsAt least 2 years working in the healthcare domain (payer, provider or integrated health systems), developing AI solutions for healthcare challengesStrong skills in PythonExperience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG)Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML librariesExtensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as JiraA solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictionsExperience with MLOps methods and platforms such as MLFlowExperience with CI/CD and test-driven developmentExperience designing, building, and maintaining ML models, frameworks, and pipelinesExperience designing and deploying end to end ML workflows on at least one major cloud computing platformUnderstanding of data structures, data modelling and software engineering best practicesProficiency using data manipulation tools and libraries such as SQL, Pandas, and SparkClearly communicating findings, recommendations, and opportunities to improve data systems and solutionsExperience with containerization and scaling modelsIntegrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applicationsStrong mathematical and quantitative skills including calculus, linear algebra, and statisticsWillingness to travel to meet client obligationsIdeally, you’ll also haveA deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply themMaster's degree Computer Science, Mathematics, Physical Sciences, or other quantitative fieldExperience working with diverse teams to deliver complex solutionsExperience fine-tuning Generative AI modelsWhat we look forYou have an agile, growth-oriented mindset. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. You are curious and purpose driven, who see opportunities instead of challenges.What we offerWe offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000.If you can demonstrate that you meet the criteria above, please contact us as soon as possible.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.EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis.
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