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AI & Machine Learning Engineer - Manager - Consulting

Position: AI & Machine Learning Engineer - Manager - Consulting - Location OPENAt 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 exceptional EY experience. It's yours to build.EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.AI/Machine Learning Engineer, Manager ConsultantThe 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. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future.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.Yourkey responsibilitiesYou will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions 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. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. 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. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.Toqualify for the role you must have• Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning• 2-4 years of experience directly managing technical teams• Strong skills in Python.• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, Llama Index, Langchain, Retrieval Augmented Generation (RAG).• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.• Extensive experience using Dev Ops tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.• Experience with MLOps methods and platforms such as MLFlow.• Experience with CI/CD and test-driven development.• Experience designing, building, and maintaining ML models, frameworks, and pipelines.• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.• Understand in…

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$140000 / YEARLY (est.)

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What You Should Know About AI & Machine Learning Engineer - Manager - Consulting, Ernst & Young

Are you ready to take your career to the next level? As an AI & Machine Learning Engineer - Manager in Consulting at EY in the beautiful Westlake Village, CA, you'll join a culture that values your unique viewpoint and growth. Here at EY, we believe in building exceptional experiences for our clients and our team members alike. In this role, you'll engage directly with clients, bringing cutting-edge AI and data science technologies to life. No two days will look the same as you work alongside a diverse team of engineers and scientists to tackle complex computational challenges in innovative ways. Your expertise in machine learning, data science, and leadership will shine as you guide technical development tasks and help design scalable data solutions. You'll find satisfaction in navigating the intricate world of analytics while networking and building relationships with top-tier clients. With your passion for continuous learning, you will influence novel working approaches and share knowledge with diverse teams. Expect an environment where agility and efficiency reign, and where your contributions will play a pivotal role in helping clients achieve their goals. If you're ready to roll up your sleeves and dive into the fast-paced arena of AI consulting, this could be the perfect opportunity for you!

Frequently Asked Questions (FAQs) for AI & Machine Learning Engineer - Manager - Consulting Role at Ernst & Young

What are the key responsibilities of the AI & Machine Learning Engineer - Manager at EY?

As the AI & Machine Learning Engineer - Manager at EY, you'll be primarily responsible for delivering data science and big data technology solutions to clients. You will oversee the design and implementation of scalable systems that unify and analyze diverse data sources. Additionally, you will guide technical teams through the complexities of modern data science, ensuring that data solutions meet ongoing business needs while fostering innovation and collaboration.