AI Strategy Leader for Scalable ML Solutions

EY; Woodbridge Township (NJ); Híbrido; USD 126 000 - 251 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical and dental coverage

Pension and 401(k) plans

Generous paid time off

Resumo da oferta

EY is seeking an AI Manager to lead development and execution of advanced AI strategies for diverse clients. You will work with interdisciplinary teams across AI, data science and software engineering to design scalable, impactful solutions and drive value in a globally connected environment.

You will guide ModelOps implementations, collaborate with data scientists and engineers, and communicate findings to stakeholders while balancing technical excellence with client outcomes.

Qualificações

• Minimum 5 years of professional consulting experience in business or technology.
• Experience with Generative AI models and frameworks such as OpenAI, LLMs, and Retrieval Augmented Generation.
• Strong Python and CI/CD proficiency; experience with data engineering and software development practices.
• Experience with MLOps methods and platforms; ability to design scalable AI solutions.
• Willingness to travel to meet client obligations.

Responsabilidades

• Lead the development and execution of AI strategies for clients.
• Collaborate with AI engineers and data scientists to deliver modern ML/AI solutions.
• Advise on ModelOps target architecture and scalable AI deployments.
• Drive high-quality client work and foster cross-functional collaboration.

Conhecimentos

Generative AI strategies

AI consulting

Python

ModelOps

Team leadership

Communication

Formação académica

Bachelor’s or MS in a relevant field

Master’s in CS/Math/Data Science

Ferramentas

OpenAI models

LangChain

LLMs

MLFlow

PyTorch

scikit-learn

ONNX

Descrição da oferta de emprego

EY is seeking an AI Manager to lead development and execution of advanced AI strategies for diverse clients. You will work with interdisciplinary teams across AI, data science and software engineering to design scalable, impactful solutions and drive value in a globally connected environment.

You will guide ModelOps implementations, collaborate with data scientists and engineers, and communicate findings to stakeholders while balancing technical excellence with client outcomes.