AI Strategy Leader for Tech Consulting

EY

Washington (District of Columbia)

Híbrido

USD 126 000 - 251 000

Tempo integral

Há 2 dias
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Vantagens oferecidas por esta oferta de emprego

Medical & dental coverage
Pension & 401(k)
Paid time off

Resumo da oferta

EY is hiring an AI Manager to lead AI strategy and execution for clients across the United States. You will guide teams of scientists and engineers to design scalable AI solutions, drive ModelOps, and ensure robust delivery in a hybrid on-site/remote environment.

You will work with data scientists, engineers, and client stakeholders to translate business goals into AI-enabled architectures, tools, and processes, while traveling as needed.

Qualificações

  • Degree in a STEM field or data-focused program.
  • 5+ years of professional consulting in business or technology.
  • Experience with Generative AI models and related frameworks.
  • Strong Python skills and ML workflow understanding.
  • Experience with MLOps and CI/CD practices.
  • Knowledge of data structures, modelling, and software engineering best practices.
  • Excellent communication and client-facing abilities.

Responsabilidades

  • Lead the development and execution of AI strategies for clients.
  • Collaborate with AI engineers and data scientists to deliver ML solutions.
  • Provide guidance on ModelOps and architecture for AI at scale.
  • Work with cross-functional teams to implement and sustain client platforms.

Conhecimentos

AI Strategy
ModelOps
Python
CI/CD
Data Science
Team Leadership
Stakeholder Communication

Formação académica

Bachelor’s or MS in CS/Math/Stats/Data Science

Ferramentas

MLFlow
PyTorch
scikit-learn
ONNX
LangChain

Descrição da oferta de emprego

EY is hiring an AI Manager to lead AI strategy and execution for clients across the United States. You will guide teams of scientists and engineers to design scalable AI solutions, drive ModelOps, and ensure robust delivery in a hybrid on-site/remote environment.

You will work with data scientists, engineers, and client stakeholders to translate business goals into AI-enabled architectures, tools, and processes, while traveling as needed.

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