AI Strategy & Transformation Lead (Hybrid)

EY

Nashville (TN)

Híbrido

USD 125 000 - 230 000

Tempo integral

Há 2 dias
Torna-te num dos primeiros candidatos

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

Medical & Dental
Pension & 401(k)
Paid time off

Resumo da oferta

EY is seeking an AI Manager to lead development and execution of AI strategies for diverse clients. You will collaborate with data scientists, engineers, and business stakeholders to deliver scalable ML/AI solutions and drive outcomes across cloud platforms.

This role demands strong Python, ML Ops experience, and the ability to communicate complex ideas to non-technical audiences. Travel to client sites is expected in a hybrid, high-impact environment.

Qualificações

  • Bachelor’s degree or MS in Business/Technology/CS/Data Science or related field.
  • 5+ years of professional consulting experience in business or technology.
  • Experience with Generative AI models and related frameworks.
  • Proficiency in Python and ML workflows.
  • Knowledge of ML Ops and CI/CD practices.
  • Strong communication and problem-solving skills.

Responsabilidades

  • Lead development and execution of AI strategies for clients.
  • Collaborate with AI engineers and data scientists to deliver modern ML/AI solutions.
  • Provide technical guidance on ModelOps tools and architecture.
  • Engage with clients to align data strategy with business goals.
  • Travel to meet client obligations as needed.

Conhecimentos

Python
CI/CD
Data analysis
ModelOps
Team collaboration

Formação académica

Bachelor's or MS in relevant field

Ferramentas

MLFlow
PyTorch
ONNX
scikit-learn

Descrição da oferta de emprego

EY is seeking an AI Manager to lead development and execution of AI strategies for diverse clients. You will collaborate with data scientists, engineers, and business stakeholders to deliver scalable ML/AI solutions and drive outcomes across cloud platforms.

This role demands strong Python, ML Ops experience, and the ability to communicate complex ideas to non-technical audiences. Travel to client sites is expected in a hybrid, high-impact environment.

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