AI & Machine Learning Engineer - Manager - Consulting - Location OPEN

$124,300 - $227,900/Yr

Ernst & Young - Boston, MA

Full-time - Manager

Boston, MA

Professional, Scientific, and Technical Services

About the position

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. Our 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.

Responsibilities

• Work with a wide variety of clients to deliver the latest data science and big data technologies.
• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Help clients navigate the complex world of modern data science, analytics, and software engineering.
• Provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support ongoing business needs.
• Collaborate with a dynamic and interdisciplinary team of scientists and engineers to tackle challenging computational problems.
• 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 complex, judgmental, and specialized issues surrounding emerging technology.

Requirements

• 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 such as OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, and Retrieval Augmented Generation (RAG).
• Experience working with popular ML packages such as scikit-learn, Pytorch, and ONNX, or related ML libraries.
• Extensive experience using DevOps 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, analyzing, 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.
• Understanding of data structures, data modeling, and software engineering best practices.
• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
• Ability to clearly communicate findings, recommendations, and opportunities to improve data systems and solutions.
• Experience with containerization and scaling models.
• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI-driven applications.
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
• Willingness to travel to meet client obligations.

Nice-to-haves

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
• Master's degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
• Experience working with diverse teams to deliver complex solutions.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
• Experience fine-tuning Generative AI models.

Benefits

• Comprehensive compensation and benefits package based on performance.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Wide range of paid time off options including flexible vacation policy.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.